AI Prompts for Cursor for Code Review

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AI Prompts for Cursor for Code Review
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Code review is where most developers either speed through too fast or get lost in line-by-line nitpicking that misses bigger structural problems. Cursor changes the dynamic: it can read the full context of a PR and flag issues that a tired human reviewer would miss, from security vulnerabilities to logical edge cases to API misuse. These prompts cover the full review workflow: getting a structured first pass, checking for specific risk categories, giving actionable feedback, and using review findings to improve the code before it merges.

Stage 1

Get a structured first pass

Before line-by-line review, you need a high-level read of what changed and whether it makes sense. These prompts produce that overview.

Give me a structured review of this code

Review this code and give me a structured report. Format it as: (1) Summary: what this code does and what problem it solves; (2) Architecture: does the structure make sense, are there any design concerns; (3) Correctness: any bugs, logic errors, or missing edge cases; (4) Security: any vulnerabilities or unsafe patterns; (5) Performance: any obvious inefficiencies; (6) Style: any naming, formatting, or convention issues. Be specific about line numbers where relevant. Code: [PASTE CODE].

Get a structured first pass

Summarize what changed in a pull request

Summarize what this pull request changes and why, in terms a reviewer can act on. Cover: what the code does before and after, the core technical decision made, what risk the change introduces, and what a reviewer should focus most attention on. Do not list every file changed, synthesize the change into a clear narrative. PR diff or description: [PASTE].

Get a structured first pass

Identify the highest-risk parts of this change

Read this code change and identify the parts that carry the most risk. Rank them by: probability of introducing a bug, blast radius if something goes wrong, and difficulty of catching the issue in testing. For the top three risks, describe exactly what could go wrong and what I should check before approving this. Code: [PASTE].

Get a structured first pass

Check if this code matches the stated intent

The stated goal of this code is: [DESCRIBE WHAT IT SHOULD DO]. Read the implementation and tell me whether it actually accomplishes that goal. Specifically: does it handle all the cases the goal implies, are there scenarios the code misses, and is there anything in the implementation that suggests a misunderstanding of the requirements? Code: [PASTE].

Get a structured first pass

Flag anything that needs a second opinion

Review this code and flag any decisions that are: technically correct but debatable, likely to be questioned in review, performance choices that trade readability for speed, or patterns that differ from how this problem is typically solved. These are the things I should discuss with the team before merging rather than approve silently. Code: [PASTE].

Get a structured first pass

Stage 2

Check specific risk categories

General review catches some issues but misses category-specific risks. These prompts do a targeted pass for the most common failure modes.

Security review

Do a security-focused review of this code. Check for: injection vulnerabilities (SQL, shell, HTML), authentication or authorization issues, insecure data handling (logging sensitive data, insecure storage, missing encryption), input validation gaps, CSRF or CORS misconfigurations, use of deprecated or unsafe APIs, and hardcoded secrets or credentials. Rate each finding as Critical, High, Medium, or Low and suggest the fix. Code: [PASTE].

Check specific risk categories

Edge case review

What edge cases does this code not handle? Think about: null or undefined inputs, empty arrays or objects, very large inputs or numbers near integer limits, concurrent calls to the same function, network or database failures mid-operation, and inputs that are technically valid but unusual. For each edge case, describe what the current code would do and what it should do instead. Code: [PASTE].

Check specific risk categories

Performance review

Review this code for performance issues. Look for: unnecessary re-computation inside loops, missing memoization or caching where repeated calls are likely, database queries inside loops (N+1 problem), synchronous operations that should be async or parallelized, memory leaks from subscriptions or event listeners that are never cleaned up, and overly large data structures being passed by value. Code: [PASTE].

Check specific risk categories

Test coverage review

Review the tests for this code change. Identify: any meaningful behavior path that is not tested, any test that is testing implementation rather than behavior, any test that would not catch a real bug because it is too tightly coupled to the current implementation, and any happy path that is tested but edge cases that are not. Code being tested: [PASTE]. Test file: [PASTE].

Check specific risk categories

API compatibility review

This code changes or extends a public API. Review it for backward compatibility. Check: are any existing call signatures changed in a breaking way, are new required parameters added to existing functions, are any return types or shapes changed in ways that could break callers, and are there any implicit behavioral changes that callers depend on. Current API: [PASTE]. New code: [PASTE].

Check specific risk categories

Stage 3

Write actionable feedback

Review findings only matter if they are communicated clearly. These prompts turn raw findings into specific, constructive feedback.

Write a code review comment for a specific issue

Write a clear, constructive code review comment for this issue I found. Issue: [DESCRIBE THE PROBLEM]. The comment should: describe what the current code does wrong or could do better, explain why it matters (not just that it is bad style), and suggest a specific fix or point toward a better approach. Tone: direct and helpful, not condescending. The author is [JUNIOR / MID-LEVEL / SENIOR].

Write actionable feedback

Write inline suggestions for a block of code

For each issue in this code, write an inline review suggestion formatted as a GitHub PR comment. Each comment should include: the problematic line or block, a brief explanation of the issue, and a suggested change in a code block. Code with issues: [PASTE].

Write actionable feedback

Summarize review findings into a top-line comment

I have reviewed this PR and found the following issues: [LIST YOUR FINDINGS]. Write a top-line PR review comment that: summarizes the overall quality of the code, identifies the most important issues to address before merging, and lists optional suggestions that would be nice to have but are not blockers. Tone: collegial and specific, not generic praise or criticism.

Write actionable feedback

Write an approve with comments message

I want to approve this PR but have some non-blocking comments. Write an approval message that: clearly approves the merge, notes the non-blocking suggestions I should raise, and makes it easy for the author to address them in a follow-up PR if they choose. My non-blocking findings: [DESCRIBE]. The PR does what it sets out to do and the core quality is good.

Write actionable feedback

Explain a review finding without being harsh

I found this issue during review: [DESCRIBE]. The author is a junior developer. Rewrite my explanation of this issue in a way that: is clearly educational rather than critical, explains the underlying principle not just the rule, includes a simple code example if helpful, and makes the author feel capable of fixing it rather than defensive.

Write actionable feedback

Stage 4

Use review findings to improve the code

The point of review is better code. These prompts translate findings into actual improvements.

Fix the issues identified in review

Based on these review findings: [PASTE REVIEW COMMENTS OR YOUR LIST], make the corresponding changes to this code. For each change: show the before and after, note which review comment it addresses, and flag if any finding requires more information from the author before it can be fixed. Code: [PASTE].

Use review findings to improve the code

Add missing tests for uncovered paths

The review identified these uncovered code paths: [LIST]. Write tests that cover each uncovered case. Use [TEST FRAMEWORK]. The tests should: be independent, test behavior not implementation, have descriptive names, and demonstrate that the code handles each case correctly. Code being tested: [PASTE].

Use review findings to improve the code

Address a security finding

The security review flagged this vulnerability: [DESCRIBE]. Here is the affected code: [PASTE]. Fix this vulnerability with the minimal change required. Show the fixed code, explain what made the original code vulnerable, and note whether this pattern appears elsewhere in the codebase and needs to be searched for and fixed there too.

Use review findings to improve the code

Respond to a reviewer comment

A reviewer left this comment on my code: [PASTE COMMENT]. I need to respond. Either: (1) if they are correct, write a brief acknowledgment and show the fix; (2) if I disagree, write a respectful explanation of my reasoning and ask for their perspective; or (3) if I need more context, write a specific question that will help me understand what they want. Code in question: [PASTE].

Use review findings to improve the code

Create a checklist from review patterns

Based on the review issues we found in this PR, create a reusable checklist I can run on future code changes before submitting for review. Organize it by category: correctness, security, performance, tests, style. Each item should be a specific yes/no question I can answer by reading the code. Issues found: [LIST].

Use review findings to improve the code

Frequently asked questions

Can Cursor review a full pull request?+

Yes, particularly if you paste the diff or open the relevant files in context. For large PRs, start with the structured first-pass prompt to get a high-level overview, then use the category-specific review prompts on the highest-risk files. Reviewing a very large PR in one pass produces lower-quality results than reviewing it in targeted sections.

Should I use Cursor as the only reviewer or alongside a human?+

Alongside a human. Cursor is best for catching technical issues that are easy to miss: edge cases, security vulnerabilities, naming problems, and missing tests. Human reviewers are better at judging product decisions, code architecture at a high level, and whether the change solves the right problem. Use both.

How do I get Cursor to stop flagging style issues when I only care about bugs?+

Scope the prompt. Instead of "review this code," use "review this code for correctness and security issues only, ignore style and formatting." The structured review prompt in Stage 1 gives Cursor a format with separate sections, so you can ask it to skip sections you do not care about for a given review.

What is the most valuable thing Cursor catches in code review?+

Edge cases and security issues. These are the two categories where human reviewers most often miss things because they require thinking about what the code does not handle, not just what it does. The edge case review and security review prompts in Stage 2 are specifically designed to surface these.

How should I handle it when Cursor flags something I intentionally chose?+

Acknowledge it in the PR. If Cursor flags a performance choice, a simplification trade-off, or an unusual pattern that is intentional, add an inline comment to the code explaining the reasoning. This tells both Cursor and human reviewers that the choice was deliberate, not an oversight.

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