It's been quite the journey to fight that feeling that writing elaborate tests is time-consuming when working with AI. If you give an LLM clear success criteria: "Reproduce this specific failure case and make sure the clock time is less than 5 minutes to do it. Feel free to experiment with ways to optimize the code path or omit certain pieces that are unnecessary to reproduce" - the AI will not only reproduce the problem (maybe slowly the first time), but it will create levers for a faster feedback cycle. With that fast feedback cycle, it will consume less context and be SMARTER. This can seriously save hours of debugging time.
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