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This mirrors my experience with AI so far - I've arrived at mostly using the plan and implement modes in Claude Code with complete but concise instructions about the behavior I want with maybe a few guide rails for the direction I'd like to see the implementation path take. Use cases and examples seem to work well.

I kind of assumed that claude code is doing most of the things described this document under the hood (but I really have no idea).



"The result was decent, but extremely frustrating. Because it would often deliver 80% to 90% but the final 10% to 20% it could never get right."

This is everyone's experience if they don't have a vested interest in LLM's, or if their domain is low risk (e.g., not regulated).




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