11/12/2025
๐ก ๐๐ ๐ฃ๐ฟ๐ผ ๐ง๐ถ๐ฝ โ ๐๐ผ๐ ๐๐ผ ๐๐ฟ๐ฒ๐ฎ๐ธ ๐๐ป๐ณ๐ถ๐ป๐ถ๐๐ฒ ๐๐ ๐๐ผ๐ฑ๐ถ๐ป๐ด ๐๐ผ๐ผ๐ฝ๐
Ever ask AI to implement a spec โ and it keeps failing, going in circles, confidently claiming it's done when the code is still broken? ๐คฏ
You point out the error. It apologizes. "Fixes" it. Claims success again. Still broken. Repeat forever.
This endless loop of ๐ณ๐ฎ๐น๐๐ฒ ๐ฐ๐ผ๐ป๐ณ๐ถ๐ฑ๐ฒ๐ป๐ฐ๐ฒ wastes hours and tests your sanity.
๐๐ฒ๐ฟ๐ฒ'๐ ๐๐ต๐ฒ ๐ณ๐ถ๐
:
Tell AI to "๐ช๐ฟ๐ถ๐๐ฒ ๐๐ต๐ฒ ๐๐ฒ๐๐ ๐ณ๐ถ๐ฟ๐๐ โ ๐ฎ๐ป๐ฑ ๐ฑ๐ผ๐ป'๐ ๐๐ฒ๐น๐น ๐บ๐ฒ ๐๐ผ๐'๐ฟ๐ฒ ๐ฑ๐ผ๐ป๐ฒ ๐๐ป๐๐ถ๐น ๐๐ผ๐๐ฟ ๐ฐ๐ผ๐ฑ๐ฒ ๐ฝ๐ฎ๐๐๐ฒ๐ ๐๐ต๐ฒ ๐๐ฒ๐๐."
This forces the AI into a ๐๐ฒ๐น๐ณ-๐๐ฒ๐ฟ๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐น๐ผ๐ผ๐ฝ where:
โ
It can't hallucinate success (tests don't lie)
โ
It must prove correctness objectively
โ
It keeps iterating until it actually works
โ
You break free from the circular failure pattern
๐ช๐ต๐ ๐๐ต๐ถ๐ ๐๐ผ๐ฟ๐ธ๐:
Without tests, AI relies on its own judgment of "done" โ which can be wildly overconfident. With tests, there's an ๐ผ๐ฏ๐ท๐ฒ๐ฐ๐๐ถ๐๐ฒ ๐ฟ๐ฒ๐ฎ๐น๐ถ๐๐ ๐ฐ๐ต๐ฒ๐ฐ๐ธ that grounds the output.
Think of it as: ๐ก๐ผ ๐ด๐ฟ๐ฒ๐ฒ๐ป ๐๐ฒ๐๐๐ = ๐ป๐ผ๐ ๐ฑ๐ผ๐ป๐ฒ. ๐๐ฒ๐ฒ๐ฝ ๐๐ฟ๐๐ถ๐ป๐ด.
This simple technique can save you hours of frustration when working with AI coding agents.
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