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AI Software Development – What Does The Data Say?
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Same. AGENTS.md files and the like are quite effective. Especially if you’re reviewing the code and making the LLM help you update the markdown files when it makes a mistake to prevent the same type of mistake in the future. Having concrete examples of “good” vs. “bad” to illustrate each architectural rule goes a long way.
For any feature or bug fix that is “painting with the colors already in the tray”, it makes sense to let a LLM write the code. Humans will introduce new tech and new patterns out of boredom and turn the codebase into a big Frankenstein, but the LLM will just follow the architectural guidelines indefinitely.
Agree, I have them curated lessons.md anytime they make a mistake and have found that to be highly effective. Every now and then a lesson goes defunct and needs pruned, but I think that’s just part of the new swe skill set.