I Built 90 AI Prompts That Actually Work for Developers -- Here Are 5 Free Ones

You already use AI for coding. But you probably do what most developers do: paste code, type "review this," and get back a wall of obvious comments about adding error handling and improving variable names.

That is not useful. That is a linter with a personality.

I spent weeks building a collection of 90 structured prompts that produce genuinely useful AI output -- the kind that catches real bugs, generates comprehensive test cases, and gives you refactoring advice worth following. The difference is structure: specific instructions, clear categories, anti-pattern constraints, and severity levels that force the AI to think like a senior engineer instead of a helpful intern.

Here are 5 prompts from the technical section. They are complete and ready to use. No teaser snippets, no "sign up to see the rest" -- these are the full prompts with placeholders you swap out.

1. The Code Review Prompt

Most developers paste code and ask for a "review." The AI responds with surface-level observations. This prompt forces a structured review across five categories with severity levels -- the same way a staff engineer would review a pull request.

Review this code for production readiness:

[PASTE YOUR CODE HERE]

Review for:
1. BUGS: Actual errors, edge cases that would crash, off-by-one errors,
   null/undefined risks
2. SECURITY: Injection vulnerabilities, exposed secrets, missing input
   validation, auth issues
3. PERFORMANCE: N+1 queries, unnecessary loops, missing indexes, memory
   leaks, unoptimized algorithms
4. MAINTAINABILITY: Naming clarity, function length, single responsibility,
   magic numbers, dead code
5. ERROR HANDLING: Missing try/catch, swallowed errors, unhelpful error
   messages, missing retries for network calls

For each issue found:
- Line number or code snippet
- Severity: CRITICAL / WARNING / SUGGESTION
- Explanation of why it's a problem
- Fixed code snippet

If no issues in a category, say "No issues foun