5 AI Prompts That Actually Save Time in Your Dev Workflow

#productivity #devtools #ai #programming

I've been collecting AI prompts that genuinely improve my development workflow — not the generic "write me a function" ones, but prompts that handle the tedious parts of software development.

Here are 5 that I use almost daily:

1. The Debug Investigator

I have a [language] application throwing [error]. Here's the relevant code:
[paste code]
Here's the stack trace:
[paste trace]

Don't just fix it. Explain:
1. What's the root cause?
2. Why does this happen specifically in this context?
3. What's the fix?
4. How do I prevent similar issues?

Why it works: Forces the AI to explain causation, not just give you a patch.

2. The Code Review Partner

Review this code as a senior engineer. Focus on:
- Security vulnerabilities (OWASP top 10)
- Performance bottlenecks
- Edge cases I'm missing
- API design issues

Don't comment on style. Only flag things that could break in production.
[paste code]

Why it works: Scoping the review prevents generic "consider using const" noise.

3. The Test Case Generator

Generate test cases for this function. Include:
- Happy path (3 cases)
- Edge cases (empty input, null, boundary values)
- Error cases (invalid types, overflow)
- Integration scenarios (if applicable)

Use [testing framework]. Make tests independent and descriptive.
[paste function]

Why it works: The structured categories ensure comprehensive coverage.

4. The Documentation Writer

Write documentation for this API endpoint:
[paste code]

Include:
- One-line description
- Parameters (with types and constraints)
- Response format (with example)
- Error codes
- Rate limits (if visible)
- Example curl command

Keep it concise. No filler paragraphs.

Why it works: Explicit format requirements prevent AI verbosity.

5. The Refactoring Advisor

This code works but feels wrong. Suggest refactoring options:
[paste code]

For each suggestion:
- What pattern applies?
- Show before/after
- What's the tradeoff?
- Is this refactoring worth the effort for a codebase of [size]?

Why it works: The tradeoff question prevents over-engineering suggestions.