that's an interesting approach and something i also considered (using git to avoid conflicts). one thing i needed was a "database" (basically a folder of markdowns) with a fixed schema so i can let the agents record their decisions in (for example when the code conflicts with product design spec). this combined with search has been a real lifesaver.
replythis is how it works: https://help.markbase.cloud/humans/collections/overview
Believe it or not, after writing this comment I was doing some more reading on the task. I'm planning to reorganize our context repo after finding this paper (it argues that AI generated context files can stunt the performance of models):
replyhttps://arxiv.org/abs/2602.11988
For what it's worth, if you were considering building context out.
Very interesting. Anecdotally I’ve found the opposite to be the case. But I’m very interested in understanding more. Thanks for sharing
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