20 of the best prompts for Gemini for code review, step by step across 4 stages. Works with ChatGPT, Claude, and Gemini.
20 of the best prompts for Gemini for code review, step by step across 4 stages. Works with ChatGPT, Claude, and Gemini.
Published July 4, 2026
Most people try to use AI for Gemini for Code Review with a single vague prompt and get generic results. This guide takes a different approach: 4 targeted stages, from Set up the review through Write review feedback, each with a prompt that gives the AI exactly the context it needs. Use Gemini to catch bugs, improve code quality, and speed up pull request reviews before human reviewers see the code. Works with ChatGPT, Claude, and Gemini.
Start here to frame what a good review looks like for this specific change.
Request a general review
Review this code for overall quality: [PASTE CODE]. Check for: bugs, edge cases, security issues, readability, and what a senior engineer would push back on. Prioritize by severity.
Review a PR diff
Review this code change: [PASTE DIFF]. Is the change correct? Are there bugs or missing edge cases? Is the approach right for the goal?
Review against criteria
Review this code against these criteria: [LIST YOUR STANDARDS OR PRINCIPLES]. Flag specific violations with the code location.
Create a review checklist
Create a code review checklist for [TYPE OF CODE: REST API / REACT COMPONENTS / DATABASE QUERIES]. What should every reviewer check?
Review for security
Review this code for security vulnerabilities: [PASTE CODE]. Check for: injection, auth issues, sensitive data exposure, and OWASP Top 10 problems.
These prompts help you identify logic errors, edge cases, and security concerns.
Find logic bugs
Find logic bugs in this code: [PASTE CODE]. For each: what it does versus what it should do, and how to fix it.
Find edge cases
What edge cases does this code not handle: [PASTE CODE]? For each unhandled case, describe what would happen.
Review error handling
Review the error handling: [PASTE CODE]. What fails silently? What errors are uncaught? What messages are too vague?
Find performance problems
Review for performance: [PASTE CODE]. Look for N+1 queries, unnecessary loops, missing indexes, and blocking operations.
Review tests
Review these tests: [PASTE TESTS AND IMPLEMENTATION]. Are the right things being tested? What is missing? Would these tests catch common bugs?
Use these prompts to raise code quality, readability, and maintainability.
Review readability
Review readability: [PASTE CODE]. Which parts would confuse a new developer? Flag unclear names, complex logic, and functions that are too long.
Check over-engineering
Is this code over-engineered: [PASTE CODE]? What abstractions can be removed while still meeting requirements?
Review API design
Review the interface design: [PASTE CODE]. Are function signatures clear? Would a consumer understand how to use this without documentation?
Check consistency
Compare this new code to existing code: [PASTE BOTH]. Is the style consistent? What would need to change to fit in?
Review architecture
Review the overall structure of this code: [PASTE CODE OR DESCRIBE]. Are the components right? Is there a better architectural approach for this problem?
These prompts help you communicate your findings clearly and constructively.
Write constructive feedback
Help me write constructive feedback for this issue: [DESCRIBE THE ISSUE]. Write it professionally, explaining the why.
Write inline comments
Write inline review comments for these code sections: [PASTE CODE]. Each comment: specific, clear, and actionable.
Write a review summary
Write a code review summary for these findings: [LIST FINDINGS]. High-level view, categorized by severity, with clear expectations.
Write an approval with suggestions
Write a review approval for this PR: [DESCRIBE IT]. Ready to merge but with non-blocking suggestions. Approve clearly while leaving room for improvements.
Request changes politely
I need to request changes for these issues: [LIST]. Write the request professionally, explaining each issue without sounding like a rejection.
Gemini reads all the code you provide consistently and without fatigue. It catches common bug patterns, checks for security issues, and can apply specific review frameworks. It works best as a first pass before human review to catch the obvious issues.
Yes. Gemini works across Python, JavaScript, TypeScript, Java, Go, Rust, C#, and other mainstream languages. Specify the language and framework context for more accurate reviews.
No. Use it as a first pass. Human reviewers add knowledge of business context, team standards, and architectural judgment that AI cannot replace. The best workflow: AI review first, then human review focused on higher-level concerns.
Gemini can be integrated with GitHub through the Gemini Code Assist product for enterprise teams. For individual use, paste code from your PR into Gemini directly for review.
Include: what the code is supposed to do, any relevant constraints (security, performance), and the broader system context. For framework-specific reviews, mention the framework and version.
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