If you write code with AI assistance, you already know the feeling: you type a vague prompt, get a mediocre answer, and spend the next 20 minutes re-prompting until the model finally understands what you wanted.
The problem isn't the model. It's the prompt.
After months of collecting what actually works, I put together a pack of 500 battle-tested prompts for AI-assisted programming — 10 languages x 10 scenarios x 5 prompts each.
What's inside
- Languages: Python, JavaScript, TypeScript, Go, Rust, Java, C#, SQL, Bash, PowerShell
- Scenarios: Debugging, Refactoring, Testing, Code Review, Architecture, Performance, Documentation, API Design, Security, Migration
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Formats:
prompts.md(readable, organized by language → scenario) +prompts.csv(sortable in Excel/Google Sheets)
Example: debugging in Python
"You are a Python debugging expert. Identify the most likely root cause, provide the complete fixed code, and explain how to verify the fix works. Cover edge cases."
Example: security audit in Rust
"Audit this code for security: injection, sensitive data leaks, missing input validation, auth bypass. Give severity + fix for each finding."
Why prompt packs beat winging it
- Consistency — the same class of task always gets the same high-quality framing
- Fewer tokens wasted — precise prompts mean fewer correction rounds
- Team standards — a shared prompt library makes code review and refactoring predictable
Who it's for
- Juniors who want better answers from ChatGPT, Claude, Gemini, DeepSeek, or Cursor
- Seniors who want consistent review checklists instead of ad-hoc asks
- Anyone tired of re-typing the same prompt skeleton for the hundredth time
One-time purchase, free updates for v1.x, instant download after checkout.
Check it out: https://qiliang.gumroad.com/l/zbajhj
If you run a technical website, you might also like llms.txt — we ship one so AI engines can understand our site.
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