Why your AI coding agent needs more than a plan: Lessons from the trenches
SMRTR summary
AI coding agents often fail when projects grow beyond simple applications despite following popular planning techniques. After building a 158-file codebase, an experienced developer discovered that successful AI collaboration requires upfront architecture design, comprehensive testing standards, and detailed logging strategies rather than just step-by-step execution plans.
SMRTR provides this summary for quick context. The original article belongs to Daily.dev.
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