the reviewer/worker pipeline is honestly the part I'm most curious about.
like how do you handle disagreements between agents, does the reviewer just block and the worker retries, or is there a loop with a hard cutoff?
the failure mode I'd worry about most is cascading context drift, where each agent in the chain slightly misunderstands the task and by the time you get to the test agent it's validating the wrong thing entirely.
fwiw I think the LanceDB memory is the right call for this kind of setup, keeping shared context grounded is probably what prevents most of those drift issues.
the failure mode I'd worry about most is cascading context drift, where each agent in the chain slightly misunderstands the task and by the time you get to the test agent it's validating the wrong thing entirely. fwiw I think the LanceDB memory is the right call for this kind of setup, keeping shared context grounded is probably what prevents most of those drift issues.