By skills I mean those of the AI itself, not your team’s capabilities. While working on my projects, I am actively setting up AI skills using .md files to manage and scale application architecture in a more robust way. I feel this has helped a lot tremendously as putting some guardrails prevents crazy-code and cyclometric complexity spiraling out of control if you give the LLM a free hand with more feature centric requests. I was wondering if there are any engineering leaders or senior folk here who are working on standardizing this across their teams, so that instead of documenting rules and guidelines in some Confluence document you are setting them up in the repo, so that team members get a more unified experience. And I think it’s not just engineering that could benefit from this kind of a strategy, but product, sales, and other domains as well. But I haven’t heard a lot about anyone building such systems or talking about them. submitted by /u/Proper_Leopard_7668
Originally posted by u/Proper_Leopard_7668 on r/ArtificialInteligence
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