"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.
- The Root Cause Debugger Most people paste broken code and ask AI to fix it. That often gets you a patch without an explanation — and you hit the same bug two weeks later. This code is producing unexpected behavior.
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.
- The Architecture Stress Tester Before you build something, this prompt finds the holes in your plan. I'm planning to build [DESCRIBE YOUR SYSTEM]. Expected scale: [USERS / REQUESTS PER DAY].
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.
- The PR Description Writer Nobody likes writing PR descriptions. This makes it effortless. Write a pull request description for these changes: [DESCRIBE YOUR CHANGES].
Include:
- What changed and why (not just what)
- How to test it manually
- Any breaking changes or migration steps
- A checklist of things the reviewer should verify
- Screenshots or GIFs placeholder if UI changed Your teammates will actually read your PRs now.
- The Plain English Translator For when you need to explain something technical to a non-technical stakeholder without losing them in the first sentence. Explain this to a non-technical stakeholder who understands business but not code.
Rules:
- Use one simple analogy
- No technical jargon
- Include the business impact in one sentence
- Keep it under 150 words
Technical concept: [PASTE CODE OR CONCEPT]
Saved me from a painful 30-minute meeting last month.
- The Prompt Refiner This one is meta — use it when your AI prompts aren't giving you good results. Here is a prompt I've been using: [YOUR PROMPT]
The results have been [TOO VAGUE / INCONSISTENT / MISSING X].
Rewrite this prompt to get better, more consistent results. Include:
- Clear role assignment
- Specific output format
- Constraints and boundaries
- A few-shot example if helpful AI improving your AI prompts sounds circular but it genuinely works. I've gotten 3x better outputs from prompts I've run through this.
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.