5 AI Prompts for Developers That Actually Work (Not the Generic Ones)

A developer shares five AI prompts that go beyond generic autocomplete, including prompts for debugging, design critique, and prompt optimization. The prompts are designed to use AI as a thinking partner, helping developers catch design flaws early and learn from debugging processes.

"Write me a function that does X." Everyone starts here. And the results are fine — but fine isn't the reason developers are getting dramatically faster with AI. The developers getting real leverage aren't using AI as a fancy autocomplete. They're using it as a thinking partner that happens to write code. Here are 5 prompts that go beyond the obvious. Expected output: WHAT YOU EXPECTED Actual output: WHAT ACTUALLY HAPPENED Environment: YOUR LANGUAGE / RUNTIME / VERSIONS Walk me through your debugging process step by step. Identify the root cause — not just the symptom. Then provide a fix and explain why it works. Code: PASTE CODE The "step by step" instruction is what changes the output. You learn something every time instead of just copying a fix. Act as a senior architect playing devil's advocate. What are the top 5 ways this design could fail at scale? For each failure, suggest a concrete mitigation. I've caught two design mistakes with this prompt before writing a single line of code. Cheaper to fix in planning than in production. Include: Rules: Technical concept: PASTE CODE OR CONCEPT Saved me from a painful 30-minute meeting last month. The results have been TOO VAGUE / INCONSISTENT / MISSING X . Rewrite this prompt to get better, more consistent results. Include: The Full Toolkit These 5 are from a larger pack of 40 prompts I use daily — covering code writing, testing, documentation, system design, DevOps, and AI engineering. All in a clean fill-in-the-blank PDF format. Grab it here if you want the full set: b4m.gumroad.com/l/wehfa Which of these 5 are you trying first? Let me know in the comments.