Taking the question of whether this would be a useful addition to Node.js core or aside, it must be noted that this 19k LoC PR was mostly generated by Claude Code and manually reviewed by the submitter which in my opinion is against the spirit of the project and directly violates the terms of Developer's Certificate of Origin set in the project's CONTRIBUTING.md
Pain is a signal. Even if the trick is not minding, it's still inadvisable to burn your hand on an open flame. The pain is there to help you not get hurt.
I do not think it is wise to brag that your solution to a problem is extremely painful but that you were impervious to all the pain. Others will still feel it. This code takes bandwidth to host and space on devices and for maintainers it permanently doubles the work associated with evolving the filesystem APIs. If someone else comes along with the same kind of thinking they might just double those doubled costs, and someone else might 8x them, all because nobody could feel the pain they were passing on to others
> Bundle a full application into a Single Executable.
Embed a zip file into the executable, or something. Node sort of supports this since v25, see --build-sea. Bun and Deno support this for a longer time.
> Run tests without touching the disk.
This must be left to the host system to decide. Maybe I want them to touch the disk and leave traces useful for debugging. I'd go with tmpfile / tmpdir; whoever cares, knows to mount them as tmpfs, which sits in RAM. (Or a ramdisk under Windows.)
> Sandbox a tenant’s file access. In a multi-tenant platform, you need to confine each tenant to a directory without them escaping
This looks like a wrong tool, again. Run your Node app in a container (like you are already doing), mount every tenant's directory as a separate mount point into your container. (Similar with BSD jails.) This seems like the only problem that is not trivial to solve without a "VFS", but I'm not very certain that such a VFS would be as well-audited as Docker, or nsenter and unshare. The amount of work necessary for implementing that is too much for the niche benefit it would provide.
> Load code generated at runtime. See tmpfs for a trivial answer. For a less trivial answer, I don't see how Node's code loader is bound to a filesystem. If it can import via https, Just use ESM loader hooks and register() your loader, assuming you're running Node ≥ 20.6.
> I pointed the AI at the tedious parts, the stuff that makes a 14k-line PR possible but no human wants to hand-write: implementing every fs method variant (sync, callback, promises), wiring up test coverage, and generating docs.
Is it slop if it is carefully calculated? I tire of hearing people use slop to mean anything AI, even when it is carefully reviewed.
Considering the many hundreds of technical comments over at the PR (https://github.com/nodejs/node/pull/61478), the 8 reviewers thanked by name in the article, and the stellar reputations of those involved, seems likely.
My mistake 19k lines. At 2 mins per line that’s (19000*2)/60/7=90 7-hour days to review it all, are you sure it was all read? I mean they couldn’t be bothered to write it, so what are the chances they read it all?
For someone’s website or one business maybe the risk is worth it, for a widely used software project that many others build on it is horrifying to see that much plausible code generated by an LLM.
Large PRs could follow the practices that the Linux kernel dev lists follow. Sometimes large subsystem changes could be carried separately for a while by the submitter for testing and maintenance before being accepted in theory, reviewed, and if ready, then merged.
While the large code changes were maintained, they were often split up into a set of semantically meaningful commits for purposes of review and maintenance.
With AI blowing up the line counts on PRs, it's a skill set that more developers need to mature. It's good for their own review to take the mass changes, ask themselves how would they want to systematically review it in parts, then split the PR up into meaningful commits: e.g. interfaces, docs, subsets of changed implementations, etc.
Nobody wants to review AI-generated code (unless we are paid for doing so). Open source is fun, that's why people do it for free... adding AI to the mix is just insulting to some, and boring to others.
Like, why on earth would I spent hours reviewing your PR that you/Claude took 5 minutes to write? I couldn't care less if it improves (best case scenario) my open source codebase, I simply don't enjoy the imbalance.
In theory because the code being added is introducing a feature so compelling that it is worth it. In practice, that’s rarely the case.
My personal approach to open source is more or less that when I need a piece of software to exist that does not and there is no good reason to keep it private, it becomes open source. I don’t do it for fun, I do it because I need it and might as well share it. If someone sends me a patch that enhances my use case, I will work with them to incorporate it. If they send me a patch that only benefits them it becomes a calculus of how much effort would it take for me to review it. If the effort is high, my advice is to fork the project or make it easier for me to review. Granted I don’t maintain huge or vital projects, but that’s precisely why: I don’t need yet another programming language or runtime to exist and I wouldn’t want to work on one for fun.
I get the frustration but I think this take only holds if you assume AI generated code is inherently worse. If someone uses Claude to scaffold the boilerplate and then actually goes through it properly, the end result is the same code you would have written by hand, just faster. The real problem is when people submit 14k lines they clearly did not read through. But that is a review process problem, not an AI problem. Bad PRs existed long before AI.
I resonate with OP a lot, and in my opinion, it's not about the code quality. It's about the effort that was put in, like in each LOC. I can't quite put it in words, but, like, the art comparison works quite well. If someone generates a painting with Gemini, it makes it somewhat heartless. It may still be good and bring the project forward (in case of this PR), but it lost every emotional value.
I would probably never be able to review this kind of code in open source projects without any financial compensation, because of that reason. Not because I don't like LLMs, not use LLMs, or think their code is of bad quality. But, while without LLMs I know there was a person who sat down and wrote all this in painstaking work, now I know that he or she barely steered a robot that wrote it. It may still be good work, and the steering and prompting is still work and requires skill, but for me I would not feel any emotional value in this code, and it would make it A LOT harder to gather motivation to review it. Interestingly, when I think about it, I realize that I would inherently have motivation to find out how the developer prompted the agent.
Like, you know, when I see a wooden statue of which I know it was designed and carved by someone in months of work, I could appreciate every single edge of the wood much more than if there's a statue that was designed by someone but carved by some kind of wooden CNC machine. It may be same statue and the same or even better quality, and it was still skillful work, but I lose my connection to it.
Can't quite pinpoint it, but for me, it seems, the human aspect is really important here, at least when it's about passion and motivation.
Maybe that made some sense, idk. I just wrote out of my ass.
Why do you care how much effort it took the engineer to make it? If there was a huge amount of tedium that they used Claude Code for, then reviewed and cleaned up so that it’s indistinguishable from whatever you’d expect from a human; what’s it to you?
Not everyone has the same motivations. I’ve done open source for fun, I’ve done it to unblock something at work, I’ve done it to fix something that annoys me.
If your project is gaining useful functionality, that seems like a win.
Because sometimes programming is an art and we want people to do it as if it was something they cared about.
I play chess and this is a bit like that. Why do I play against humans? Because I want to face another person like me and see what strategies they can come up with.
Of course any chess bot is going to play better, but that's not the point
TIL that when I do anything that makes society label me as a "developer", I am not allowed to enjoy it, or feel about it in any way, as it's now a job, entirely neutral in nature, and I gotta do it, whether I hate or enjoy it - no attached emotions allowed.
Well, the process you’re describing is mature and intentionally slows things down. The LLM push has almost the opposite philosophy. Everyone talks about going faster and no one believes it is about higher quality.
Go slow to go fast. Breaking up the PR this way also allows later humans and AI alike to understand the codebase. Slowing down the PR process with standards lets the project move faster overall.
If there is some bug that slips by review, having the PR broken down semantically allows quicker analysis and recovery later for one case. Even if you have AI reviewing new Node.js releases for if you want to take in the new version - the commit log will be more analyzable by the AI with semantic commits.
Treating the code as throwaway is valid in a few small contexts, but that is not the case for PRs going into maintained projects like Node.js.
TBF, most of the AI code I've reviewed isn't significantly different than code I've seen from people... in fact, I've seen significantly worse from real people.
The fact is, it's useful as a tool, but you still should review what's going on/in. That isn't always easy though, and I get that. I've been working on a TS/JS driver for MS-SQL so I can use some features not in other libraries, mostly bridging a Rust driver (first Tiberious, then mssql-client), the clean abstraction made the switch pretty quick... a fairly thorough test suite for Deno/Node/Bun kapt the sanity in check. Rust C-style library with FFI access in TS/JS server environment.
My hardest part, is actually having to setup a Windows Server to test the passswordless auth path (basically a connection string with integrated windows auth). I've got about 80 hours of real time into this project so far. And I'll probably be doing 2 followups.. one with be a generic ODBC adapter with a similar set of interfaces. And a final third adapter that will privide the same methods, but using the native SQLite underneath but smothing over the differences.
I'm leveraging using/dispose (async) instead of explicit close/rollback patterns, similar to .Net as well as Dapper-like methods for "Typed" results, though no actual type validation... I'd considered trying to adapt Zod to check at least the first record or all records, and may still add the option.
All said though, I wouldn't have been able to do so much with so relatively little time without the use of AI. You don't have to sacrifice quality to gain efficiency with AI, but you do need to take the time to do it.
If submitter picks (a) they assert that they wrote the code themselves and have right to submit it under project's license. If (b) the code was taken from another place with clear license terms compatible with the project's license. If (c) contribution was written by someone else who asserted (a) or (b) and is submitted without changes.
Since LLM generated output is based on public code, but lacks attribution and the license of the original it is not possible to pick (b). (a) and (c) cannot be picked based on the submitter disclaimer in the PR body.
If there's a "the original" the LLM is copying then there's a problem.
If there isn't, then (b) works fine, the code is taken from the LLM with no preexisting license. And it would be very strange if a mix of (a) and (b) is a problem; almost any (b) code will need some (a) code to adapt it.
To many, it qualifies under either A or B, and therefore C as well. Under A, you can think of the LLM as augmenting your own intelligence. Under B, the license terms of LLM output are essentially that you can do whatever you want with it. The alternative is avoiding use of AI because of copyright or plagiarism concerns.
Whether AI output can fall under copyright at all is still up for debate - with some early rulings indicating that the fact that you prompted the AI does not automatically grant you authorship.
Even if it does, it hasn't been settled yet what the impact of your AI having been trained on copyrighted material is on its output. You can make a not-completely-unreasonable argument that AI inference output is a derivative work of AI training input.
Fact is, the matter isn't settled yet, which means any open-source project should assume the worst possible outcome - which in practice means a massive AI-generated PR like this should be treated like a nuke which could go off at any moment.
This is not how law works. Stop pretending that you’re a lawyer. You do not “always assume the worst”. Stop giving legal advice. You’re very clearly a developer in over his head. Law is not an engineering problem. Legislation is not a technical specification. Christ.
Why write open-source software at all, when the government could outlaw open-source entirely? What if an asteroid destroys Earth and there are no humans left to enjoy your work? At some point, you have to agree that a risk isn't worth worrying about. And your "worst possible outcome" is just the arbitrary outcome that you think has some subjective risk threshold. And it's certainly not one I agree with. Furthermore, calling it a "nuke" is a bad analogy because that implies that it can't be put back in the bottle once opened. In reality, we're dealing with legal definitions, which can be redefined as easily as defined.
2. Copyrighted works require human creativity to be applied in order to be copyrighted.
For point 2 this would apply to times were AI one shots a generic prompt. But for these large PRs where multiple prompts are used and a human has decided what the design should be and how the API should look you get the human creativity required for copyright.
In regards to being a derivative work I think it would be hard to argue that an LLM is copying or modifying an existing original work. Even if it came up with an exact duplicate of a piece of code it would be hard to prove that it was a copy and not an independent recreation from scratch.
>the worst possible outcome
The worst possible outcome is they get sued and Anthropic defends them from the copyright infringement claim due to Anthopic's indemnity clause when using Claude Code.
That indemnity clause is only for Team, Enterprise and API users. Do you know what was used here?
Also the commercial version is limited to “…Customer and its personnel, successors, and assigns…”. I am very much not a lawyer and couldn’t find definitions of these in the agreement but I am not sure how transferable this indemnity would be to an open source project.
As someone who was a part of the aforementioned security team I'm not sure I'd be interested in reviewing such volume of machine generated code, expecting trap at every corner. The implicit assumption that I observed at many OSS projects I've been involved with is that first time contributions are rarely accepted if they are too large in volume, and "core contributor" designation exists to signal "I put effort into this code, stand by it, and respect everyone's time in reviewing it". The PR in the post violates this social contract.
For free, you can decide to do what you want, if it's your job, it's a bit different and you may have to do so, especially considering Collina, is one of the largest contributors of the project and member of the technical committee.
Fully disagree with this take. Not allowing AI assistance on PRs will likely decimate the project in the future, as it will not allow fast iteration speeds compared to other alternatives.
Note aside, OpenJS executive director mentioned it's ok to use AI assistance on Node.js contributions:
I checked with legal and the foundation is fine with the DCO on AI-assisted contributions. We’ll work on getting this documented.
> Not allowing AI assistance on PRs will likely decimate the project in the future, as it will not allow fast iteration speeds compared to other alternatives.
That sort of statement might also be sarcasm in another context: I personally use AI a lot, but also recognize that there are a lot of projects out there that are suffering from low quality slop pull requests, devs that kinda sign out and don't care much about the actual code as long as it appears to be running, alongside most LLMs struggling a lot with longer term maintenance if not carefully managed. So I guess it depends a lot on how AI is used and how much ideological opposition to that there is. In a really testable codebase it could actually work out pretty well, though.
I appreciate hearing your point of view on this. In my opinion the future of Open Source and AI assisted coding is a much bigger issue, and different people have different levels of confidence in both positive and negative outcomes of LLM impact on our industry.
It is great to have a legal perspective on compliance of LLM generated code with DCO terms, and I feel safer knowing that at least it doesn't expose Node.js to legal risk. However it doesn't address the well known unresolved ethical concerns over the sourcing of the code produced by LLM tooling.
AI coding is great, but iteration speed is absolutely not a desirable trait for a runtime. Stability is everything.
Speed code all your SaaS apps, but slow iteration speeds are better for a runtime because once you add something, you can basically never remove it. You can't iterate. You get literally one shot, and if you add a awkward or trappy API, everyone is now stuck with it forever. And what if this "must have" feature turns out to be kind of a dud, because everyone converged on a much more elegant solution a few years later? Congratulations, we now have to maintain this legacy feature forever and everyone has to migrate their codebase to some new solution.
Much better to let dependencies and competing platforms like bun or deno do all the innovating. Once everyone has tried and refined all the different ways of solving this particular problem, and all the kinks have been worked out, and all the different ways to structure the API have been tried, you can take just the best of the best ideas and add it into the runtime. It was late, but because of that it will be stable and not a train wreck.
But I know what you're thinking. "You can't do that. Just look at what happens to platforms that iterate slowly, like C or C++ or Java. They're toast." Oh wait, never mind, they're among the most popular platforms out there.
Since when we accepted that we can’t go fast and offer stability at the same time?
Time is highly correlated with expertise. When you don’t have expertise, you may go fast at expense of stability because you lack the experience to make good decisions to really save speed.
This doesn’t hold true for any projects where you rely on experts, good processes and tight timelines (aka: Apollo mission)
IME there's a reason it's "move fast and break things" and not "move fast and don't break anything," because if the second was generally possible, we wouldn't even need this little aphorism.
And again, I'm not making a claim that the slow and steady tradeoff is best for all situations. Just that it is a great tradeoff for foundational platforms like a runtime. On a platform like postgresql or the JVM, the time from initial proposal to being released as a stable feature is generally years, and this pace I think has served those platforms well.
But I'm open to updating my priors. Do you think there are foundational platforms out there that iterate quickly and do a good job of it?
Allowing AI contributions results in lower quality contributions and allows wild things to come in and disrupt it, making it an unreliable dependency. We have seen big tech experience constant outages due to AI contributions as is...
Your comment is why advertisers say that you should repeat your core call to action at least a few times to make it stick.
You’ve read people saying the same thing hundreds of times and have somehow taken that as meaning that it’s credible.
Neither you nor I nor anyone else here knows what the “effects” are, because this is brand new tech, and it’s constantly changing. Yet you’re speaking with absolute confidence.
“Big tech” has downtime all the time, and LLMs did not change that fact. The only difference is that the peanut gallery that is already worked up about AI for philosophical / cultural reasons is suddenly ready to blame AI for every issue under the sun.
You think that you’re making a technical argument but you’re just repeating the same taking points I see teenagers regurgitating on TikTok. There’s nothing intelligent or credible about it.
> Not allowing AI assistance on PRs will likely decimate the project in the future, as it will not allow fast iteration speeds compared to other alternatives.
It's not an AI issue. Node.js itself is lots of legacy code and many projects depend on that code. When Deno and Bun were in early development, AI wasn't involved.
Yes, you can speed up the development a bit but it will never reach the quality of newer runtimes.
It's like comparing C to C++. Those languages are from different eras (relatively to each other).
I'm not convinced that allowing Node to import "code generated at runtime" is actually a good thing. I think it should have to go through the hoops to get loaded, for security reasons.
I like the idea of it mocking the file system for tests, but I feel like that should probably be part of the test suite, not Node.
The example towards the end that stores data in a sqlite provider and then saves it as a JSON file is mind-boggling to me. Especially for a system that's supposed to be about not saving to the disk. Perhaps it's just a bad example, but I'm really trying to figure out how this isn't just adding complexity.
As a user of embedded Node.js - I need the ability to package JavaScript into the binary and feed it to Node.js without writing it to disk.
My current flow is to literally embed the JavaScript in the binary, then on start, write the JavaScript code to `/tmp/{random}` and point Node.js to execute the code at that destination.
A virtualized filesystem also allows for a safer "plugin" story for Node.js - where JavaScript plugins can be prevented from accessing the real filesystem.
I had to laugh, because the post you're replying to STRONGLY reminds me of this story, https://news.ycombinator.com/item?id=31778490 , in which some people on the GNOME project objected to thumbnails in the file-open dialog box because it might be a "Security issue" (even though thumbnails were available in the normal file browser, something those commenters probably should have known about, but didn't, but they just had to chime in anyway).
But then you go "hang on, doesn't ESM exist?" and you realize that argument 4 isn't even true. You can literally do what this argument says you can't, by creating a blob instead of "writing a temp file" and then importing that using the same dynamic import we've had available since <checks his watch> 2020.
A virtual filesystem makes it possible for the ESM you import to statically import other files in the virtual filesystem, which isn't possible by just dynamically importing a blob. Anything your blob module imports has to be updated to dynamically import its dependencies via blobs.
Using Claude for code you use yourself or at your own company internally is one thing, but when you start injecting it into widely-shared projects like this (or, the linux kernel, or Debian, etc) there will always be a lingering feeling of the project being tainted.
Just my opinion, probably not a popular one. But I will be avoiding an upgrade to Node.js after 24.14 for a while if this is becoming an acceptable precedent.
I do think it's more painful to distribute files when you're a distributed as a single binary vs scripts, since the latter has to figure out bundling of files anyway.
Zip files are created in such a way that they can be a part of an executable file. (This is how self-extracting archives used to work.) Support for reading zip files is lightweight, and is present almost everywhere.
A ZIP fork embedded into the executable should be an obvious read-only VFS implementation. Bring your assets with you, even maybe build them with the standard zip utility.
It should take relatively few LOCs, provided that libzip is already linked into the executable anyway.
this is a pretty bad vfs. there are pure “cap manifest” approaches that don’t pull in decades of cruft semantics. don’t build systems that aren’t objectstore native in 2025 (since this work was initiated in december).
Most of the 4 justifications mentioned sound like mitigations of otherwise bad design decisions. JavaScript in the browser went down this path for the longest time where new standards were introduced only to solve for stupid people instead of actually introducing new capabilities that were otherwise unachievable.
I do see some original benefits to a VFS though, bad application decisions aside, but they are exceedingly minor.
As an aside I think JavaScript would benefit from an in-memory database. This would be more of language enhancement than a Node.js enhancement. Imagine the extended application capabilities of an object/array store native to the language that takes queries using JS logic to return one or more objects/records. No SQL language and no third party databases for stuff that you don't want to keep in offline storage on a disk.
Whether it is an object, array, something else, or a combination thereof is a design decision. It is not so much about the design of the structure, which should be determined by execution performance considerations, but how information is added, removed and retrieved. Gathering one or more records from a JSON object, or array index, by value of some child property somewhere in a descendant structure of the instance index always feels like a one-off based upon the shape of the data. That could just be a query which is more elegant to read and yet still achieves superior execution performance compared to a bunch of nested loops or string of function array methods.
The more structures you have in a given application and the larger those structures become in their schemas the more valuable a uniform storage and retrieval solution becomes.
Or worse yet, the performance load of anti-malware software that has to look inside ZIP files.
Look, most of us realized around 2004 or so that if you had a choice between Norton and the virus you would pick the virus. In the Windows world we standardized around Defender because there is some bound on how much Defender degrades the performance of your machine which was not the case with competitive antivirus software.
I've done a few projects which involved getting container file formats like ZIP and PDF (e.g. you know it's a graph of resources in which some of those resources are containers that contain more resources, right?) and now that I think of it you ought to be able to virus scan ZIP files quickly and intelligently but the whole problem with the antivirus industry is that nobody ever considers the cost.
yarn with zero-installs removes an awful lot of pain present in npm and pnpm. Its practically the whole point of yarn berry.
Firstly - with yarn pnp zero-installs, you don't have to run an `install` every time you switch branch, just in case a dep changed. So much dev time is wasted due to this.
Secondly - "it worked on my machine" is eliminated. CI and deploy use the exact same files - this is particularly important for deeply nested range satisfied dependencies.
Thirdly - packages committed to the repo allows for meaningful retrospectives and automated security reviews. When working in ops, packages changing is hell.
All of this is facilitated by the zip files that the comment you replied to was discussing, that you tangented away from.
The graph you have linked is fundamentally odd. Firstly - there is no good explanation of what it is actually showing. I've had claude spin on it and it reckons its npm download counts. This leads to it being a completely flawed graph! Yarn berry is typically installed either via corepack or bootstrapped via package.json and the system yarn binary. Yarn even saves itself into your repo. pnpm is never (I believe) bundled with the system node, wheras yarn and npm typically are.
When npm decided to have per-project node_modules (rather than shared like ruby and others) and human readable configs and library files I think the goal was to be a developer friendly and highly configurable, which it is. And package.json became a lot more than that as a result, it’s been a great system IMO.
Combined with a hackable IDE like Atom (Pulsar) made with the same tech it’s a pretty great dev exp for web devs
Python had shared packages for a long time and those are fine up to a point but circa 2017 I was working at a place where we had data scientists making models using different versions of Tensorflow and stuff and venv’s are essential to that. We were building unusually complex systems and having worse problems than other people but if you do enough development you will have trouble with shared packages.
The node model of looking for packages in the local directory has some appeal and avoids the need for “activation” but I like writing Python-based systems that define one or more command line programs that I can go use in any directory I want. For instance, if I want to publish one of my Vite projects I have a ‘transporter’ written in Python that looks for a Vite project in the current directory and uploads it to S3, updates metadata and invalidates cloudfront and all that. I have to activate it which is a minor hassle but then I can go to different Vite projects and publish them.
Would accessing deps directly from a zip really be faster? I'd be a little surprised but not terribly, given that it's readonly on an fs designed for RW. If not, maybe just tar?
You just cat the exe with the zip file, then it is all loaded into memory at the same time on process init. This is how e.g. LÖVE does game code packaging. (It can't be tar, because this trick only works because the PKZIP descriptor is at the end of the file.)
Moving your whole workflow into WSL or nested containers just to dodge NTFS is a band-aid. Then you get flaky file watchers, odd perms, and a dev setup that feels like a workaround piled on top of another workaround. A fast Node VFS would remove a lot of this nonsense.
> I pointed the AI at the tedious parts, the stuff that makes a 14k-line PR possible but no human wants to hand-write: implementing every fs method variant (sync, callback, promises), wiring up test coverage, and generating docs.
This is the biggest takeaway for me for AI. It's not even that nobody wants to do these things, its that by the time you finish your tasks, you have no time to do these things, because your manage / scrum master / powers that be want you to work on the next task.
That's perfectly understandable. But has no business being in a large open source project, let alone world class one like Node or (god forbid) the Linux kernel. Get that shit the fuck out.
I think the insight there is that the increased productivity of AI could be used to add features where the end results are weighing the ability of the AI against the ability of an individual implementing the same thing.
The alternative is that you work on the same number of features and utilize the ability to make those features as robust as you know they could be, but you have other pressing matters to attend to. That's weighing the ability of AI against the ability of neglect.
Yarn, pnpm, webpack all have solutions for this. Great to see this becoming a standard. I have a project that is severely handicapped due to FS. Running 13k tests takes 40 minutes where a virtual file system that Node would just work with it would cut the run time to 3 minutes. I experimented with some hacks and decided to stay with slow but native FS solution.
What I really want is a way of swapping FS with VFS in a Node.js program harness. Something like
node --use-vfs --vfs-cache=BIG_JSON_FILE
So basically Node never touches the disk and load everything from the memory
The way to do this today is to do it outside of node. Using an overlay fs with the overlay being a ramfs. You can even chroot into it if you can't scope the paths you need to be just downstream from some directory. Or, just use docker.
yes and no. Waiting 40mins for every test run is pure pain, platform specific ramfs type mounting is quite scriptable. Yes some devs might need to install a dependency, but its not a complex script.
How about trying to reduce dependencies? 11ty is going in correct direction, dropping significant chunk of various dependencies or replacing them with packages with no dependencies or using platform features, that becomes readily available.
This is because yarn patches fs in order to introduce virtual file path resolution of modules in the yarn cache (which are zips), which is quite brittle and was broken by a seemingly unrelated change in 25.7.
The discussion in issue 62012 is notable - it was suggested yarn just wait for vfs to land. This is interesting to me in two ways: firstly, the node team seems quite happy for non-trivial amounts of the ecosystem to just be broken, and suggests relying on what I'm assuming will be an experimental API when it does land; secondly, it implies a lot of confidence that this feature will land before LTS.
This is quite spammy; you could mitigate it by explaining what you think the "needless suffering" is. Having been using npm, pnpm, and yarn for many years the only benefit I find with pnpm is a little bit of speed when using the cli, but not enough that I notice; I've outlined the major yarn benefit to me 'in a peer comment' (which I didn't realise was you when I answered) https://news.ycombinator.com/item?id=47415660
I expect yarn to have a real competitor sooner rather than later that will replace it; and I do wonder if it is this vfs module that will enable it.
This can't be overstated. The main benefit with yarn berry (v4+) is being able to commit the dependencies to the repo - I have yarn based tools that I wrote years ago that just work wheras I frequently find npm and python tools are broken due to version changes. However this benefit comes at a setup cost and a lot more on disk complexity - one off tools are just npm and done.
I'm not convinced this needs to be in core Node, but being able to have serverless functions access a file system without providing storage would definitely have some use cases. Had some fun with video processing recently that this would be perfect for.
Separate the valid critiques on other comments, Go's io.FS interface is really nice for making these sorts of things. Is there something like this in Node already? (with base implementations like host and in memory)
I would put virtual or filesystem abstractions in a different category than sandboxing, which puts restrictions over the virtual or native implementations.
I don't really understand what the value proposition of Bun and Deno is. And I see huge problems with their governance and long-term sustainability.
Node.js on the other hand is not owned or controlled by one entity. It is not beholden to the whims of investors or a large corporation. I have contributed to Node.js in the past and I was really impressed by its rock-solid governance model and processes. I think this an under-appreciated feature when evaluating tech options.
Deno has some pretty nice unique features like sandboxing that, afaik, don't exist in other runtimes (yet). It's enough of a draw that it's the recommended runtime for projects like yt-dlp: https://github.com/yt-dlp/yt-dlp/issues/14404
> The permission model implements a "seat belt" approach, which prevents trusted code from unintentionally changing files or using resources that access has not explicitly been granted to. It does not provide security guarantees in the presence of malicious code. Malicious code can bypass the permission model and execute arbitrary code without the restrictions imposed by the permission model.
Deno's permissions model is actually a very nice feature. But it is not very granular so I think you end up just allowing everything a lot of the time. I also think sandboxing is a responsibility of the OS. And lastly, a lot of use cases do not really benefit from it (e.g. server applications).
If one gets nothing from them directly, they've at least been a good kick to get several features into Node. It's almost like neovim was to vim, perhaps to a lesser extent.
I agree about the governance and long-term sustainability points but if you don't see any value in Bun or Deno is probably because (no offense) you are not paying attention.
loud people on twitter are always switching to the new hotness. i personally can't see myself using bun until its reputation for segfaults goes away after a few more years of stabilizing. deno seems neat and has been around for longer, but its node compatibility story is still evolving; i'm also giving it another year before i try it.
I publish a package with zero deps and people still pull in a pile of transitive stuff from their lockfile. "pg" has 13 dependencies and nobody even blinks. One gets compromised and suddenly every Node backend using Postgres is in scope. Bun shipping native drivers feels like the right call, fewer moving parts.
Most obviously, Java has JDBC. I think .NET has an equivalent. Drivers are needed but they're often first party, coming directly from the DB vendor itself.
Java also has a JIT compiling JS engine that can be sandboxed and given a VFS:
N.B. there's a NodeJS compatible mode, but you can't use VFS+sandboxing and NodeJS compatibility together because the NodeJS mode actually uses the real NodeJS codebase, just swapping out V8. For combining it all together you'd want something like https://elide.dev which reimplemented some of the Node APIs on top of the JVM, so it's sandboxable and virtualizable.
> Most obviously, Java has JDBC. I think .NET has an equivalent. Drivers are needed but they're often first party, coming directly from the DB vendor itself.
So it's an external dependency that is not part of Java. It doesn't really matter if the code comes from the vendor or not. Especially for OpenSource databases.
DBMS vendor providing the client is nice. At least if you're using pg-native in Node, that's just a wrapper around the Postgres-owned libpq, but I've run into small breaking updates before that I don't feel would've happened if Postgres maintained both.
No it's not Node's fault, this isn't their job. I don't blame Postgres either, cause maintaining libpq is fair enough, just would've been extra nice to have an official Node lib too.
Bun provides native MySQL, SQlite, and Postgres drivers.
I'm not saying Node should support every db in existence but the ones I listed are critical infrastructure at this point.
When using Postgres in Node you either rely on the old pg which pulls 13 dependencies[1] or postgres[2] which is much better and has zero deps but mostly depends on a single guy.
Maybe MySQL and Postgres should make official Node libs then. Bun maintaining this is ok too, but it seems odd given that it means having to keep up with new features in those DBMSes.
For .NET only the old legacy .NET Framework, SqlClient was moved to a separate package with the rewrite (from System.Data.SqlClient to Microsoft.Data.SqlClient). They realized that it was a rather bad idea to have that baked in to your main runtime, as it complicates your updates.
There's Docker, OverlayFS, FUSE, ZFS or Btrfs snapshots?
Do you not trust your OS to do this correctly, or do you think you can do better?
A lot of this stuff existed 5, 10, 15 years ago...
Somehow there's been a trend for every effing program to grow and absorb the features and responsibilities of every other program.
Actually, I have a brilliant idea, what if we used nodejs, and added html display capabilities, and browser features? After all Cursor has already proven you can vibecode a browser, why not just do it?
This exact thing solves a huge problem with SEA binaries as he points out in his post. You can include complicated assets easily and skip an ugly unpack step entirely. This is very useful.
One of the worst is media players that all insist on grafting their own "library" on top of my already-working OS filesystem. So I can't just run the media player and play files. No, that would be too simple. I have to first "import" my media into a "library" abstraction and then store that library somewhere else on my filesystem. Terrible!
There's a legitimate problem they're trying to solve there: there are several ways to sort media that don't match up well with a hierarchical filesystem¹. They solve it badly. Good players maintain a database for efficient queries of media metadata, and periodically rescan the folders to update it. Shitty media players try to manage the files themselves, and still end up needing to maintain a database. The worst of these use the database to manage the contents of their storage files (or store the files themselves in the database), if something isn't in the database they delete the files. Adobe Lightroom Classic does this, if your database gets corrupted it deletes all your RAW files!
¹E.g. if you've got music, and it's sorted `artist/album/track<n>.extension`, and two artists collaborate on an album, which one gets the album in their folder? What if you want to sort all songs in the display by publication date? Even if they use the files on your filesystem without moving them, some sort of metadata database will be needed for efficient display & search.
I do not think it is wise to brag that your solution to a problem is extremely painful but that you were impervious to all the pain. Others will still feel it. This code takes bandwidth to host and space on devices and for maintainers it permanently doubles the work associated with evolving the filesystem APIs. If someone else comes along with the same kind of thinking they might just double those doubled costs, and someone else might 8x them, all because nobody could feel the pain they were passing on to others
> Bundle a full application into a Single Executable.
Embed a zip file into the executable, or something. Node sort of supports this since v25, see --build-sea. Bun and Deno support this for a longer time.
> Run tests without touching the disk.
This must be left to the host system to decide. Maybe I want them to touch the disk and leave traces useful for debugging. I'd go with tmpfile / tmpdir; whoever cares, knows to mount them as tmpfs, which sits in RAM. (Or a ramdisk under Windows.)
> Sandbox a tenant’s file access. In a multi-tenant platform, you need to confine each tenant to a directory without them escaping
This looks like a wrong tool, again. Run your Node app in a container (like you are already doing), mount every tenant's directory as a separate mount point into your container. (Similar with BSD jails.) This seems like the only problem that is not trivial to solve without a "VFS", but I'm not very certain that such a VFS would be as well-audited as Docker, or nsenter and unshare. The amount of work necessary for implementing that is too much for the niche benefit it would provide.
> Load code generated at runtime. See tmpfs for a trivial answer. For a less trivial answer, I don't see how Node's code loader is bound to a filesystem. If it can import via https, Just use ESM loader hooks and register() your loader, assuming you're running Node ≥ 20.6.
if there's anyone i would trust in exploring these avenues, it's him and the maintainers doing god's work in the nodejs repo in these past few years.
Is it slop if it is carefully calculated? I tire of hearing people use slop to mean anything AI, even when it is carefully reviewed.
For someone’s website or one business maybe the risk is worth it, for a widely used software project that many others build on it is horrifying to see that much plausible code generated by an LLM.
While the large code changes were maintained, they were often split up into a set of semantically meaningful commits for purposes of review and maintenance.
With AI blowing up the line counts on PRs, it's a skill set that more developers need to mature. It's good for their own review to take the mass changes, ask themselves how would they want to systematically review it in parts, then split the PR up into meaningful commits: e.g. interfaces, docs, subsets of changed implementations, etc.
Like, why on earth would I spent hours reviewing your PR that you/Claude took 5 minutes to write? I couldn't care less if it improves (best case scenario) my open source codebase, I simply don't enjoy the imbalance.
My personal approach to open source is more or less that when I need a piece of software to exist that does not and there is no good reason to keep it private, it becomes open source. I don’t do it for fun, I do it because I need it and might as well share it. If someone sends me a patch that enhances my use case, I will work with them to incorporate it. If they send me a patch that only benefits them it becomes a calculus of how much effort would it take for me to review it. If the effort is high, my advice is to fork the project or make it easier for me to review. Granted I don’t maintain huge or vital projects, but that’s precisely why: I don’t need yet another programming language or runtime to exist and I wouldn’t want to work on one for fun.
I would probably never be able to review this kind of code in open source projects without any financial compensation, because of that reason. Not because I don't like LLMs, not use LLMs, or think their code is of bad quality. But, while without LLMs I know there was a person who sat down and wrote all this in painstaking work, now I know that he or she barely steered a robot that wrote it. It may still be good work, and the steering and prompting is still work and requires skill, but for me I would not feel any emotional value in this code, and it would make it A LOT harder to gather motivation to review it. Interestingly, when I think about it, I realize that I would inherently have motivation to find out how the developer prompted the agent.
Like, you know, when I see a wooden statue of which I know it was designed and carved by someone in months of work, I could appreciate every single edge of the wood much more than if there's a statue that was designed by someone but carved by some kind of wooden CNC machine. It may be same statue and the same or even better quality, and it was still skillful work, but I lose my connection to it.
Can't quite pinpoint it, but for me, it seems, the human aspect is really important here, at least when it's about passion and motivation.
Maybe that made some sense, idk. I just wrote out of my ass.
Not everyone has the same motivations. I’ve done open source for fun, I’ve done it to unblock something at work, I’ve done it to fix something that annoys me.
If your project is gaining useful functionality, that seems like a win.
Of course any chess bot is going to play better, but that's not the point
As for us (aspiring) craftsman, there are dozens of us! Dozens!
Well, the process you’re describing is mature and intentionally slows things down. The LLM push has almost the opposite philosophy. Everyone talks about going faster and no one believes it is about higher quality.
If there is some bug that slips by review, having the PR broken down semantically allows quicker analysis and recovery later for one case. Even if you have AI reviewing new Node.js releases for if you want to take in the new version - the commit log will be more analyzable by the AI with semantic commits.
Treating the code as throwaway is valid in a few small contexts, but that is not the case for PRs going into maintained projects like Node.js.
The fact is, it's useful as a tool, but you still should review what's going on/in. That isn't always easy though, and I get that. I've been working on a TS/JS driver for MS-SQL so I can use some features not in other libraries, mostly bridging a Rust driver (first Tiberious, then mssql-client), the clean abstraction made the switch pretty quick... a fairly thorough test suite for Deno/Node/Bun kapt the sanity in check. Rust C-style library with FFI access in TS/JS server environment.
My hardest part, is actually having to setup a Windows Server to test the passswordless auth path (basically a connection string with integrated windows auth). I've got about 80 hours of real time into this project so far. And I'll probably be doing 2 followups.. one with be a generic ODBC adapter with a similar set of interfaces. And a final third adapter that will privide the same methods, but using the native SQLite underneath but smothing over the differences.
I'm leveraging using/dispose (async) instead of explicit close/rollback patterns, similar to .Net as well as Dapper-like methods for "Typed" results, though no actual type validation... I'd considered trying to adapt Zod to check at least the first record or all records, and may still add the option.
All said though, I wouldn't have been able to do so much with so relatively little time without the use of AI. You don't have to sacrifice quality to gain efficiency with AI, but you do need to take the time to do it.
Who reviewed and approved the PR?
If submitter picks (a) they assert that they wrote the code themselves and have right to submit it under project's license. If (b) the code was taken from another place with clear license terms compatible with the project's license. If (c) contribution was written by someone else who asserted (a) or (b) and is submitted without changes.
Since LLM generated output is based on public code, but lacks attribution and the license of the original it is not possible to pick (b). (a) and (c) cannot be picked based on the submitter disclaimer in the PR body.
(a) The contribution was created in whole or in part by me and I have the right to submit it under the open source license indicated in the file; or
If there isn't, then (b) works fine, the code is taken from the LLM with no preexisting license. And it would be very strange if a mix of (a) and (b) is a problem; almost any (b) code will need some (a) code to adapt it.
Whether AI output can fall under copyright at all is still up for debate - with some early rulings indicating that the fact that you prompted the AI does not automatically grant you authorship.
Even if it does, it hasn't been settled yet what the impact of your AI having been trained on copyrighted material is on its output. You can make a not-completely-unreasonable argument that AI inference output is a derivative work of AI training input.
Fact is, the matter isn't settled yet, which means any open-source project should assume the worst possible outcome - which in practice means a massive AI-generated PR like this should be treated like a nuke which could go off at any moment.
1. Copyright cannot be assigned to an AI agent.
2. Copyrighted works require human creativity to be applied in order to be copyrighted.
For point 2 this would apply to times were AI one shots a generic prompt. But for these large PRs where multiple prompts are used and a human has decided what the design should be and how the API should look you get the human creativity required for copyright.
In regards to being a derivative work I think it would be hard to argue that an LLM is copying or modifying an existing original work. Even if it came up with an exact duplicate of a piece of code it would be hard to prove that it was a copy and not an independent recreation from scratch.
>the worst possible outcome
The worst possible outcome is they get sued and Anthropic defends them from the copyright infringement claim due to Anthopic's indemnity clause when using Claude Code.
Also the commercial version is limited to “…Customer and its personnel, successors, and assigns…”. I am very much not a lawyer and couldn’t find definitions of these in the agreement but I am not sure how transferable this indemnity would be to an open source project.
On a more serious note, I think that this will be thoroughly reviewed before it gets merged and Node has an entire security team that overviews these.
Oh I'd use an llm to generate large amounts of feedback and request changes!
Note aside, OpenJS executive director mentioned it's ok to use AI assistance on Node.js contributions:
[1]: https://github.com/nodejs/node/pull/61478#issuecomment-40772...That sort of statement might also be sarcasm in another context: I personally use AI a lot, but also recognize that there are a lot of projects out there that are suffering from low quality slop pull requests, devs that kinda sign out and don't care much about the actual code as long as it appears to be running, alongside most LLMs struggling a lot with longer term maintenance if not carefully managed. So I guess it depends a lot on how AI is used and how much ideological opposition to that there is. In a really testable codebase it could actually work out pretty well, though.
It is great to have a legal perspective on compliance of LLM generated code with DCO terms, and I feel safer knowing that at least it doesn't expose Node.js to legal risk. However it doesn't address the well known unresolved ethical concerns over the sourcing of the code produced by LLM tooling.
Speed code all your SaaS apps, but slow iteration speeds are better for a runtime because once you add something, you can basically never remove it. You can't iterate. You get literally one shot, and if you add a awkward or trappy API, everyone is now stuck with it forever. And what if this "must have" feature turns out to be kind of a dud, because everyone converged on a much more elegant solution a few years later? Congratulations, we now have to maintain this legacy feature forever and everyone has to migrate their codebase to some new solution.
Much better to let dependencies and competing platforms like bun or deno do all the innovating. Once everyone has tried and refined all the different ways of solving this particular problem, and all the kinks have been worked out, and all the different ways to structure the API have been tried, you can take just the best of the best ideas and add it into the runtime. It was late, but because of that it will be stable and not a train wreck.
But I know what you're thinking. "You can't do that. Just look at what happens to platforms that iterate slowly, like C or C++ or Java. They're toast." Oh wait, never mind, they're among the most popular platforms out there.
Time is highly correlated with expertise. When you don’t have expertise, you may go fast at expense of stability because you lack the experience to make good decisions to really save speed. This doesn’t hold true for any projects where you rely on experts, good processes and tight timelines (aka: Apollo mission)
And again, I'm not making a claim that the slow and steady tradeoff is best for all situations. Just that it is a great tradeoff for foundational platforms like a runtime. On a platform like postgresql or the JVM, the time from initial proposal to being released as a stable feature is generally years, and this pace I think has served those platforms well.
But I'm open to updating my priors. Do you think there are foundational platforms out there that iterate quickly and do a good job of it?
but you can only have two of them at the same time.
and we’re talking about FOSS here, so cheap kinda has to be one of them.
You’ve read people saying the same thing hundreds of times and have somehow taken that as meaning that it’s credible.
Neither you nor I nor anyone else here knows what the “effects” are, because this is brand new tech, and it’s constantly changing. Yet you’re speaking with absolute confidence.
“Big tech” has downtime all the time, and LLMs did not change that fact. The only difference is that the peanut gallery that is already worked up about AI for philosophical / cultural reasons is suddenly ready to blame AI for every issue under the sun.
You think that you’re making a technical argument but you’re just repeating the same taking points I see teenagers regurgitating on TikTok. There’s nothing intelligent or credible about it.
It's not an AI issue. Node.js itself is lots of legacy code and many projects depend on that code. When Deno and Bun were in early development, AI wasn't involved.
Yes, you can speed up the development a bit but it will never reach the quality of newer runtimes.
It's like comparing C to C++. Those languages are from different eras (relatively to each other).
I like the idea of it mocking the file system for tests, but I feel like that should probably be part of the test suite, not Node.
The example towards the end that stores data in a sqlite provider and then saves it as a JSON file is mind-boggling to me. Especially for a system that's supposed to be about not saving to the disk. Perhaps it's just a bad example, but I'm really trying to figure out how this isn't just adding complexity.
My current flow is to literally embed the JavaScript in the binary, then on start, write the JavaScript code to `/tmp/{random}` and point Node.js to execute the code at that destination.
A virtualized filesystem also allows for a safer "plugin" story for Node.js - where JavaScript plugins can be prevented from accessing the real filesystem.
I had to laugh, because the post you're replying to STRONGLY reminds me of this story, https://news.ycombinator.com/item?id=31778490 , in which some people on the GNOME project objected to thumbnails in the file-open dialog box because it might be a "Security issue" (even though thumbnails were available in the normal file browser, something those commenters probably should have known about, but didn't, but they just had to chime in anyway).
https://github.com/tc39/proposal-module-expressions
Just my opinion, probably not a popular one. But I will be avoiding an upgrade to Node.js after 24.14 for a while if this is becoming an acceptable precedent.
That’s so dehumanizing, I would happily write such code.
I get it, I've implemented things for tests, I'm just wondering if this shouldn't be solved at an OS level.
--- update
Let's put this another way, my code does effectively, child_process.spawn('something-that-reads-and-write-a-file')
now I'm back to the same issue. To test I need a virtual file system. Node providing one won't help.
I do think it's more painful to distribute files when you're a distributed as a single binary vs scripts, since the latter has to figure out bundling of files anyway.
But still - it does exist
A ZIP fork embedded into the executable should be an obvious read-only VFS implementation. Bring your assets with you, even maybe build them with the standard zip utility.
It should take relatively few LOCs, provided that libzip is already linked into the executable anyway.
I do see some original benefits to a VFS though, bad application decisions aside, but they are exceedingly minor.
As an aside I think JavaScript would benefit from an in-memory database. This would be more of language enhancement than a Node.js enhancement. Imagine the extended application capabilities of an object/array store native to the language that takes queries using JS logic to return one or more objects/records. No SQL language and no third party databases for stuff that you don't want to keep in offline storage on a disk.
The more structures you have in a given application and the larger those structures become in their schemas the more valuable a uniform storage and retrieval solution becomes.
isn't that just global state, or do you mean you want that to be persistent?
Look, most of us realized around 2004 or so that if you had a choice between Norton and the virus you would pick the virus. In the Windows world we standardized around Defender because there is some bound on how much Defender degrades the performance of your machine which was not the case with competitive antivirus software.
I've done a few projects which involved getting container file formats like ZIP and PDF (e.g. you know it's a graph of resources in which some of those resources are containers that contain more resources, right?) and now that I think of it you ought to be able to virus scan ZIP files quickly and intelligently but the whole problem with the antivirus industry is that nobody ever considers the cost.
Oh, wait...
[0] https://yarnpkg.com/advanced/pnp-spec#zip-access
See https://pnpm.io/motivation
Also, while popularity isn't necessarily a great indicator of quality, a quick comparison shows that the community has decided on pnpm:
https://www.npmcharts.com/compare/pnpm,yarn,npm
Firstly - with yarn pnp zero-installs, you don't have to run an `install` every time you switch branch, just in case a dep changed. So much dev time is wasted due to this.
Secondly - "it worked on my machine" is eliminated. CI and deploy use the exact same files - this is particularly important for deeply nested range satisfied dependencies.
Thirdly - packages committed to the repo allows for meaningful retrospectives and automated security reviews. When working in ops, packages changing is hell.
All of this is facilitated by the zip files that the comment you replied to was discussing, that you tangented away from.
The graph you have linked is fundamentally odd. Firstly - there is no good explanation of what it is actually showing. I've had claude spin on it and it reckons its npm download counts. This leads to it being a completely flawed graph! Yarn berry is typically installed either via corepack or bootstrapped via package.json and the system yarn binary. Yarn even saves itself into your repo. pnpm is never (I believe) bundled with the system node, wheras yarn and npm typically are.
Your graph doesn't show what you claim it does.
Combined with a hackable IDE like Atom (Pulsar) made with the same tech it’s a pretty great dev exp for web devs
Python had shared packages for a long time and those are fine up to a point but circa 2017 I was working at a place where we had data scientists making models using different versions of Tensorflow and stuff and venv’s are essential to that. We were building unusually complex systems and having worse problems than other people but if you do enough development you will have trouble with shared packages.
The node model of looking for packages in the local directory has some appeal and avoids the need for “activation” but I like writing Python-based systems that define one or more command line programs that I can go use in any directory I want. For instance, if I want to publish one of my Vite projects I have a ‘transporter’ written in Python that looks for a Vite project in the current directory and uploads it to S3, updates metadata and invalidates cloudfront and all that. I have to activate it which is a minor hassle but then I can go to different Vite projects and publish them.
https://web.archive.org/web/20161003115800/https://blog.mozi...
This is the biggest takeaway for me for AI. It's not even that nobody wants to do these things, its that by the time you finish your tasks, you have no time to do these things, because your manage / scrum master / powers that be want you to work on the next task.
The alternative is that you work on the same number of features and utilize the ability to make those features as robust as you know they could be, but you have other pressing matters to attend to. That's weighing the ability of AI against the ability of neglect.
What I really want is a way of swapping FS with VFS in a Node.js program harness. Something like
So basically Node never touches the disk and load everything from the memoryhttps://en.wikipedia.org/wiki/List_of_RAM_drive_software
- https://github.com/yarnpkg/berry/issues/7065
- https://github.com/nodejs/node/issues/62012
This is because yarn patches fs in order to introduce virtual file path resolution of modules in the yarn cache (which are zips), which is quite brittle and was broken by a seemingly unrelated change in 25.7.
The discussion in issue 62012 is notable - it was suggested yarn just wait for vfs to land. This is interesting to me in two ways: firstly, the node team seems quite happy for non-trivial amounts of the ecosystem to just be broken, and suggests relying on what I'm assuming will be an experimental API when it does land; secondly, it implies a lot of confidence that this feature will land before LTS.
Not spamming, not affiliated, just trying to help others avoid so much needless suffering.
I expect yarn to have a real competitor sooner rather than later that will replace it; and I do wonder if it is this vfs module that will enable it.
(I know, I know, it's ugly and has its own set of problems)
Sure you can. Function() exists and require.cache exists. This is _intentionally_ exploitable.
From https://github.com/jupyterlite/jupyterlite/issues/949#issuec... :
> Ideally, the virtual filesystem of JupyterLite would be shared with the one from the virtual terminal.
emscripten-core/emscripten > "New File System Implementation": https://github.com/emscripten-core/emscripten/issues/15041#i... :
> [ BrowserFS, isomorphic-git/lightningfs, ]
pyodide/pyodide: "Native file system API" #738: https://github.com/pyodide/pyodide/issues/738 re: [Chrome,] Filesystem API :
> jupyterlab-git [should work with the same VFS as Jupyter kernels and Terminals]
pyodide/pyodide: "ENH Add API for mounting native file system" #2987: https://github.com/pyodide/pyodide/pull/2987
The node.js codebase and standard library has a very high standard of quality, hope that doesn't get washed out by sloppy AI-generated code.
OTOH, Matteo is an excellent engineer and the community owes a lot to him. So I guess the code is solid :).
Wonder what Dang says about that.
Node.js on the other hand is not owned or controlled by one entity. It is not beholden to the whims of investors or a large corporation. I have contributed to Node.js in the past and I was really impressed by its rock-solid governance model and processes. I think this an under-appreciated feature when evaluating tech options.
> The permission model implements a "seat belt" approach, which prevents trusted code from unintentionally changing files or using resources that access has not explicitly been granted to. It does not provide security guarantees in the presence of malicious code. Malicious code can bypass the permission model and execute arbitrary code without the restrictions imposed by the permission model.
Deno's permissions model is actually a very nice feature. But it is not very granular so I think you end up just allowing everything a lot of the time. I also think sandboxing is a responsibility of the OS. And lastly, a lot of use cases do not really benefit from it (e.g. server applications).
Open 80, closed 492.
By far the most critical issue is the over reliance on third party NPM packages for even fundamental needs like connecting to a database.
Databases are third party tech, I don’t think it’s unreasonable to use a third party NPM module to connect to them.
Java also has a JIT compiling JS engine that can be sandboxed and given a VFS:
https://www.graalvm.org/latest/security-guide/sandboxing/
N.B. there's a NodeJS compatible mode, but you can't use VFS+sandboxing and NodeJS compatibility together because the NodeJS mode actually uses the real NodeJS codebase, just swapping out V8. For combining it all together you'd want something like https://elide.dev which reimplemented some of the Node APIs on top of the JVM, so it's sandboxable and virtualizable.
So it's an external dependency that is not part of Java. It doesn't really matter if the code comes from the vendor or not. Especially for OpenSource databases.
If you don't value that, why would you want your programming language implementors to also implement database drivers?
I'm not saying Node should support every db in existence but the ones I listed are critical infrastructure at this point.
When using Postgres in Node you either rely on the old pg which pulls 13 dependencies[1] or postgres[2] which is much better and has zero deps but mostly depends on a single guy.
[1] https://npmgraph.js.org/?q=pg
[2] https://github.com/porsager/postgres
That would be more useful for the ecosystem than the Node team investing time on a virtual file system.
There's Docker, OverlayFS, FUSE, ZFS or Btrfs snapshots?
Do you not trust your OS to do this correctly, or do you think you can do better?
A lot of this stuff existed 5, 10, 15 years ago...
Somehow there's been a trend for every effing program to grow and absorb the features and responsibilities of every other program.
Actually, I have a brilliant idea, what if we used nodejs, and added html display capabilities, and browser features? After all Cursor has already proven you can vibecode a browser, why not just do it?
I'm just tired at this point
¹E.g. if you've got music, and it's sorted `artist/album/track<n>.extension`, and two artists collaborate on an album, which one gets the album in their folder? What if you want to sort all songs in the display by publication date? Even if they use the files on your filesystem without moving them, some sort of metadata database will be needed for efficient display & search.