AI Prompts for Code Review

Free tested AI prompts for Code Review. Built for real results you can use right away.

Free AI prompts for Code Review, tested and ready to use right now.

AI Prompts for Code Review

Free tested AI prompts for Code Review. Built for real results you can use right away.

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Browse top AI prompts for Code Review across review for bugs and logic errors, review for security and performance, review for code quality and maintainability, and more. Every prompt in this guide is free to copy and built for real results. No prompt engineering experience needed.

Stage 1

Review for Bugs and Logic Errors

The first job of a code review is to find what is broken or about to break. These prompts help you read code carefully and surface real problems.

Review code for bugs

Review the following code for bugs, logic errors, and edge cases that could cause unexpected behavior. For each issue you find, explain: what the bug is, what input or condition would trigger it, and how to fix it. Code: [PASTE CODE]

Review for Bugs and Logic Errors

Find edge cases in function

This function is supposed to handle [DESCRIBE INTENDED BEHAVIOR]. Find the edge cases and boundary conditions it does not handle correctly. For each one, write a test case that would expose the failure and suggest the fix: [PASTE FUNCTION]

Review for Bugs and Logic Errors

Check error handling coverage

Review this code for error handling coverage. Where could this code fail silently, throw an unhandled exception, or return incorrect results without raising an error? For each gap, suggest the specific error handling that should be added: [PASTE CODE]

Review for Bugs and Logic Errors

Trace logic through complex function

Walk through this function step by step for these specific inputs: [LIST INPUTS]. Show me what each variable holds at each step and whether the final output is correct. If you find a point where the logic diverges from the intended behavior, explain exactly what is happening: [PASTE FUNCTION]

Review for Bugs and Logic Errors

Review async code for race conditions

Review this asynchronous code for race conditions, timing issues, and potential deadlocks. Identify any paths where the execution order matters and could produce different results. Suggest how to make the behavior deterministic: [PASTE CODE]

Review for Bugs and Logic Errors

Stage 2

Review for Security and Performance

Bugs stop code from working; security and performance issues make it work dangerously or slowly. These prompts surface problems that basic logic reviews miss.

Security review for common vulnerabilities

Review this code for security vulnerabilities including SQL injection, XSS, CSRF, insecure direct object references, hardcoded credentials, and improper input validation. For each vulnerability found, explain the risk and provide a concrete fix: [PASTE CODE]

Review for Security and Performance

Performance review for bottlenecks

Review this code for performance issues. Identify any unnecessary loops, repeated computations, N+1 query patterns, memory leaks, or blocking operations that could become bottlenecks at scale. For each issue, estimate the impact and suggest the optimization: [PASTE CODE]

Review for Security and Performance

Review database query efficiency

Review these database queries for efficiency. Check for missing indexes, unnecessary full table scans, overly broad SELECT statements, and queries that should be batched. For each issue, explain the performance impact and write the optimized version: [PASTE QUERIES]

Review for Security and Performance

Check input validation and sanitization

This code accepts external input. Review it for input validation and sanitization gaps. Where is user input used without validation? Where could malformed input cause unexpected behavior or security issues? Provide specific validation code for each gap: [PASTE CODE]

Review for Security and Performance

Review API endpoint security

Review these API endpoints for security issues: missing authentication checks, overly permissive authorization, sensitive data exposed in responses, rate limiting gaps, and improper HTTP methods. For each issue, describe the attack vector and the fix: [PASTE ENDPOINTS/CODE]

Review for Security and Performance

Stage 3

Review for Code Quality and Maintainability

Code that works today but cannot be maintained is a long-term liability. These prompts help you evaluate structure, clarity, and long-term health.

Review code readability and naming

Review this code for readability. Flag any variable names, function names, or structures that are unclear or misleading. Suggest specific renames and restructures that would make the code easier to understand for someone reading it for the first time: [PASTE CODE]

Review for Code Quality and Maintainability

Identify SOLID principle violations

Review this code for violations of SOLID principles. Specifically look for: single-responsibility violations (classes doing too much), open-closed violations (code that requires modification to extend), and dependency inversion issues (tight coupling to concrete implementations). Suggest specific refactors: [PASTE CODE]

Review for Code Quality and Maintainability

Check test coverage quality

Review these tests for coverage and quality. Are there important code paths not tested? Are the tests testing behavior or implementation details? Do the tests actually fail when the code is broken? Identify the most critical gaps and write the missing test cases: [PASTE CODE AND TESTS]

Review for Code Quality and Maintainability

Review for code duplication

Identify code duplication in this codebase section. For each instance of duplicated logic, suggest the refactored version that extracts the shared behavior. Only suggest abstractions where the duplication is genuinely identical or where a clear pattern exists: [PASTE CODE]

Review for Code Quality and Maintainability

Review documentation and comments

Review the documentation and comments in this code. Identify: comments that are out of date, comments that only describe what the code does rather than why, missing documentation for non-obvious behavior, and public APIs that lack adequate documentation. Rewrite the problematic comments and suggest what documentation to add: [PASTE CODE]

Review for Code Quality and Maintainability

Stage 4

Give and Receive Review Feedback

How feedback is given affects whether it is acted on. These prompts help you write review comments that improve code and relationships.

Write constructive review comment

I want to flag this issue in a code review: [DESCRIBE THE ISSUE]. The code is: [PASTE CODE]. Write a review comment that is specific and actionable, explains the why not just the what, suggests the fix or direction, and is phrased to be constructive rather than critical. The developer is [JUNIOR/SENIOR/PEER].

Give and Receive Review Feedback

Write review feedback for junior developer

I am reviewing code from a junior developer. The code works but has these issues: [LIST ISSUES]. Write review comments that: clearly explain the problems and the reasoning, frame the feedback as learning opportunities, suggest specific resources for the concepts they need to understand, and encourage while being honest. [PASTE RELEVANT CODE SECTIONS]

Give and Receive Review Feedback

Respond to review feedback you disagree with

A reviewer left this comment on my code: [PASTE COMMENT]. I respectfully disagree because [YOUR REASONING]. Write a professional response that explains my position clearly, acknowledges the reviewer's point, and either proposes a compromise or asks for further discussion without being defensive.

Give and Receive Review Feedback

Summarize code review findings

I completed a review of a pull request that includes changes to [DESCRIBE CHANGES]. The issues I found are: [LIST ISSUES]. Write a review summary comment that: leads with the overall assessment, groups issues by severity (blocking, important, minor), explains my approval decision, and is constructive rather than gatekeeping.

Give and Receive Review Feedback

Self-review checklist before submitting PR

I am about to submit a pull request for [DESCRIBE CHANGES]. Help me conduct a self-review before submitting. Give me a checklist specific to this type of change that covers: correctness, edge cases, security, performance, tests, documentation, and anything a reviewer is likely to flag. I want to catch my own issues before someone else does.

Give and Receive Review Feedback

Frequently asked questions

What should a code review focus on?+

In order of priority: correctness (does it do what it is supposed to do), security (could this be exploited), performance (will this scale), and maintainability (can the next developer understand and change this). Avoid getting too focused on style preferences that are not enforced by a linter.

How long should a code review take?+

For a typical pull request of 200 to 400 lines, 30 to 60 minutes is appropriate. Reviews that take much longer are often a sign that the pull request is too large. Split large PRs into smaller, reviewable pieces before asking for review.

How do I give useful feedback in a code review without being harsh?+

Focus on the code, not the person. Explain the why behind every suggestion. Distinguish between blocking issues and optional improvements. Use questions ("have you considered...") for suggestions and statements for real problems. Acknowledge good decisions as well as problems.

Should I use AI to fully automate code review?+

AI is excellent for catching common patterns: security issues, edge cases, style violations, and documentation gaps. It is less reliable for architectural decisions, business logic correctness, and the social dynamics of feedback. Use AI to improve your review, not to replace the judgment and accountability of a human reviewer.

What is the most common thing developers miss in code reviews?+

Error handling. Most developers review the happy path carefully and miss the ways code can fail silently, return wrong results on edge cases, or throw unhandled exceptions in production. Specifically reviewing all the ways the code can fail is one of the highest-value review activities.