How to Do Code Review in Claude Code with PromptAI (2026 Guide)
Use PromptAI’s ⌘⇧P hotkey to turn a vague Claude Code code-review request into a structured prompt that returns prioritized, actionable findings every time.
To do a useful code review in Claude Code with PromptAI, open Claude Code, type a rough description of what you want reviewed, press ⌘⇧P, and let PromptAI rewrite your one-liner into a structured prompt with role, context, task, output format, and constraints before Claude ever sees it. The result: a prioritized, actionable review instead of a wall of generic suggestions.
We built this workflow because we kept running into the same problem ourselves. Claude Code is excellent at code review when it knows what kind of reviewer to be, what files matter, and how to format its findings. The default “review this diff” prompt does none of that. PromptAI closes the gap without slowing you down.
What a good code review prompt actually needs
Most developers write code-review prompts the way they would ask a colleague in passing: “take a look at this” or “does this look right?” That works with a colleague who has six months of context. It does not work with a language model that is starting cold on every prompt.
A structured code review prompt has five parts, each doing specific work:
- Role.“You are a senior TypeScript engineer with security review experience.” This primes the evaluation standard. A general reviewer and a security-focused reviewer will catch different things in the same diff.
- Context. The language, framework, what changed, and the scope of the PR. Claude Code can read files, but it needs to know which files are the focus and why they exist in this state.
- Task. Which review dimensions matter for this change: correctness, security, performance, maintainability, API contract stability. Listing all five every time is noise. Pick the two or three that match the PR.
- Output format.“Return a numbered list sorted by severity: Critical, High, Medium, Low. One sentence per finding, followed by a specific suggestion.” Format determines whether findings are scannable or not.
- Constraints. What to skip. Style comments, naming nitpicks, and reformatting suggestions waste review bandwidth on everything except what would block a merge.
You can learn all the theory about structured prompts from our code review prompt library page. The PromptAI workflow is what makes it fast enough to use on every PR.
The one-hotkey workflow inside Claude Code
- Open Claude Code in your terminal and navigate to your project.
- Type a rough description of what you want reviewed — a sentence or two is fine. You do not need to write the full structure by hand.
- Press
⌘⇧P. PromptAI captures the text, sends it to our enhancement engine, and pastes the structured version back in place. Round trip: about two seconds. - Review the enhanced prompt quickly. It will look substantially longer than what you typed. Hit enter and let Claude Code run.
- Claude Code returns a prioritized finding list. You respond to the findings, not to clarifying questions about what you wanted.
The hotkey works in Claude Code’s terminal interface, in Cursor’s chat panel, in VS Code Copilot Chat, in Warp, and in any other macOS app where you can type. Because PromptAI captures text at the OS level, there is no per-tool integration. You can download the macOS desktop app and be running this workflow in under a minute, or try the enhancement engine live on the demo page before you install anything.
A real before/after: TypeScript API route review
This is the exact kind of prompt a developer types when they are in a flow state and want a quick sanity check before merging. Then the structured version PromptAI produces from it.
Task: Review the auth middleware for the following dimensions only, in order of priority:
(1) Security vulnerabilities: token validation gaps, missing expiry checks, replay-attack surfaces, insecure defaults.
(2) Correctness: edge cases in the token-parsing logic that would cause silent auth failures or incorrect role assignment.
(3) Error handling: unhandled rejections or catch blocks that swallow errors without proper logging.
Output format:A numbered list sorted by severity (Critical → High → Medium). Each finding: one sentence describing the issue, followed by a specific code-level suggestion for the fix. Maximum 8 findings.
Constraints: Do not comment on naming conventions, code style, or formatting unless a style choice creates a security or correctness issue. Do not suggest refactoring beyond the scope of each finding. Do not run any commands.
The user typed 6 words. The enhanced prompt is 200 words. The difference in what Claude Code returns is immediate: instead of a general “looks good, consider adding error handling” response, you get a severity-sorted list of specific issues with actionable fixes. That is what happens when the reviewer has a role, a scope, and a format to work from.
The same pattern applies to any review type. A database query review specifies the ORM and asks for index usage, N+1 risks, and transaction boundary correctness. A React component review asks for prop contract issues, hook dependency array problems, and accessibility gaps. The structure is the same; only the role, context, and task dimensions change.
Five mistakes that make AI code reviews useless
These are the patterns we see most often when developers complain that Claude Code’s reviews are not useful. Each one has a direct fix.
- No scope boundary.“Review this PR” without naming the files that changed or the type of change means Claude reviews the first thing it reads rather than what matters. Fix: paste the diff or name the files explicitly.
- Asking for everything at once.“Check for security, performance, correctness, style, and architecture” in one prompt produces shallow coverage of all five. Fix: pick the two dimensions that matter for this specific change.
- No output format. Without a format, Claude returns prose. Prose reviews are hard to scan and hard to act on. Fix: always specify a list with severity labels.
- No constraints.Without “skip style comments,” Claude will spend a third of its response on variable naming and whitespace. Fix: add an explicit constraint on what not to review.
- Treating the first response as final.A good structured prompt produces a finding list, not a verdict. The productive follow-up is to pick the top two Critical findings and ask Claude to show you the exact fix, not to ask “are you sure?”
When this workflow pays off most
Not every code change needs a structured AI review. Here is where the PromptAI workflow has the highest return:
- Auth, payments, and data access code. Security review on high-stakes code where missing one edge case has real consequences. The structured prompt forces Claude to focus on the right dimensions rather than drifting into style commentary.
- Code you did not write. Reviewing a PR from a contributor or reading a library you are about to depend on. You need a structured assessment, not familiarity.
- Pre-merge on feature branches. A quick structured review before opening the PR catches the findings you are too close to see yourself. Takes 30 seconds with the hotkey.
- Onboarding to an unfamiliar codebase.Ask Claude to review your first PR in a new repo with the constraint “also note conventions in this codebase that my change violates.” You get a review and a style guide in one pass.
Where it matters less: trivial changes (single-line fixes, config updates), purely mechanical refactors where the tests already cover behavior, and changes where you already know the risks and just need a second pair of eyes for typos. The workflow is fast enough that the cost of applying it to low-value cases is low, but the highest-return applications are the four above.
How to get started
If you want to try the enhancement engine before installing anything, the easiest path is the live demo at promptai360.com/demo. Paste a rough code-review prompt and see exactly what the structured version looks like. No account required.
To use it inside Claude Code with the hotkey, download PromptAI for macOS. The app is a small menu-bar utility. Install it, sign in, grant Accessibility permission so the hotkey can capture and replace text, and you’re running. Plans start at $7.99/monthwith a 5-day free trial — no credit card required to start.
We use this workflow ourselves every day on PromptAI’s own codebase. The before/after in this post is the actual pattern we use on auth and API route reviews. If you run into a case where the enhanced prompt is not quite right for your stack, the structure it produces is a solid starting point to edit from — which is faster than writing from scratch every time.
Frequently asked questions
How do I get Claude Code to do a useful code review?
The single biggest lever is prompt structure. A bare request like “review this diff” produces generic comments because Claude has no role, no review focus, and no output format to work from. A structured prompt that specifies reviewer role (senior engineer in your stack), context (language, PR scope, what changed), task (review for correctness, security, and maintainability), output format (prioritized list, severity labels), and constraints (no style comments unless critical) consistently produces findings you can act on immediately. PromptAI’s ⌘⇧P hotkey builds that structure for you in two seconds from whatever you typed.
Does PromptAI’s hotkey work inside Claude Code in the terminal?
Yes — that is exactly what the macOS desktop app is built for. Because PromptAI captures and rewrites text at the OS level, it works in every macOS text input: Claude Code’s terminal interface, Cursor’s chat panel, VS Code’s Copilot Chat, Warp, and any other app where you type a prompt. You type your rough code-review request into Claude Code, press ⌘⇧P, and the enhanced structured prompt replaces it in place. Your cursor stays in the terminal — no context switch, no copy-paste.
What makes a code review prompt “structured” versus just detailed?
A detailed prompt gives Claude more words. A structured prompt gives Claude a role, scoped context, a specific task, an explicit output format, and constraints on what to skip. “Check the token expiry logic for off-by-one errors” is brief but structured; “please look carefully at the auth code and make sure everything is fine” is long but unstructured — the first gets a better review. Each element does different work: role primes the evaluation standard, context tells Claude which files it’s looking at, task names which review dimensions matter, format determines whether findings land as a prioritized list, and constraints stop Claude wasting its response on style commentary. Structure is what matters, not length.
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