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This might be an argument in favor of a microservices architecture with the code split across many repos rather than a monolithic application with all the code in a single repo. It's not that microservices are necessarily technically better but they could allow you to get more leverage out of LLMs due to context window limitations.





this is a short term issue though. The available context window has been increasing exponentially over the past 2 years

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if your microservices become more verbose overall, now you have handicapped your ability to cram the whole codebase into a context window.

I think AI is great but humans know the why's of the code needs to exist AI's don't need stuff, only generate it

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The LLMs would only need to have API information for the service, not the whole code, which would be small.

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