Creating a Code Review Checklist with Claude Code

If you find yourself wondering what to check during code reviews, try explaining your team rules to Claude Code. It will organize a practical checklist of review items...

The Quick Answer

Tell Claude Code your team's code review rules in plain language, and it will produce a structured checklist of review items — organized by category and ready for your team to use. You don't need a formal document. A few sentences describing what your team cares about is enough to get started.

Why This Matters Now

Code review is one of the most reliable ways to catch bugs before they reach production. Yet many teams rely on unwritten, informal standards that live only in people's heads. New team members guess at what 'good' looks like. Experienced reviewers skip items they meant to check. The result is inconsistent reviews that depend on who happens to be reviewing that day.

Anthropiq uses Claude Code in its own engineering workflow for exactly this reason: when review criteria are explicit and visible, review quality becomes consistent and teachable. A checklist is the simplest way to make that happen.

Step-by-Step: How to Do It

1. Open Claude Code anddescribe your team's review rules in natural language. Example: 'Our team requires single responsibility per function, mandatory exception handling on all external API calls, no abbreviations in variable names, and a maximum of 10 changed files per pull request.'
2. Specify the output format you want. Example: 'Turn these rules into a checklist reviewers can use on every PR. Add one short reason after each item explaining why it matters.'
3. Paste the result into your team's documentation tool — Notion, Confluence, GitHub Wiki, or wherever your team keeps shared references.
4. Refine iteratively. If something is missing, just say: 'Add items related to security and input validation.'

Single-line input example: 'Single-responsibility functions, mandatory try-catch for API calls, no abbreviations, max 10 files per PR — create a code review checklist from these rules, with a brief reason for each item'

Real-World Example

Here is the kind of output the input above produces:

• Does each function perform exactly one task? (Violating single responsibility makes future changes expensive)
• Is every external API call wrapped in error handling? (Network failures can happen at any time)
• Are variable and function names free of hard-to-interpret abbreviations? (Everyone on the team needs to be able to read the code)
• Does this PR change fewer than 10 files? (Large scopes reduce reviewer focus and increase missed issues)

Reviewers can copy these items directly into PR comments, or register them as a reusable review template in GitHub.

Common Mistakes

• Giving vague input: Saying 'write clean code' produces only generic output. Describe specific situations your team has actually debated. The more concrete the input, the more useful the checklist.
• Trying to finalize in one shot: Treat the first result as a draft. Follow up with: 'Remove item 3 — that does not apply to us. Add a point about test coverage instead.'
• Skipping context: Phrases like 'for junior developers,' 'in TypeScript,' or 'for a React frontend' guide Claude Code toward output that fits your actual situation.

Checklist

• Did you include at least 3 rules that have come up in real team discussions?
• Did you specify a preferred output format?
• Is the result saved in a shared team document and linked to your PR template?
• Is there a designated owner to update the checklist when team rules change?
• Have reviewers actually used it and removed items that turned out to be unnecessary?

What happened in testing

• Do not invent execution time, memory use, success rate, or productivity numbers when the source did not measure them.
• Numeric details present in the input: none. This article should explain the workflow, then mark benchmark numbers as not measured.
• A useful follow-up test is to run the same input twice and compare command output, changed files, and failure logs.

Failure notes and caveats

• The common failure is not the first generated answer. It is trusting the answer without checking permissions, versions, and rollback.
• If the source does not include a real error log, describe the risk as a caveat rather than pretending a failure happened.
• Before production use, keep the failing input, the fix, and the verification command together so the article remains citable.

Sources and checks

Verified on: 2026-06-06

Claim	Evidence	How to verify	Limit
코드 리뷰 체크리스트 만들기 should be checked against the original source before reuse.	code.claude.com	Check the source page, version, date, and setup notes.	Source content can change after this article is published.
Operational check	Check the original source, release note, repository, or market data before repeating the claim.	Reproduce on a small input and record input, output, and environment.	A local test does not prove every production path.
Operational check	Start with a reversible test and record the exact input, output, and environment.	Reproduce on a small input and record input, output, and environment.	A local test does not prove every production path.
Operational check	Separate what is proven from what is an interpretation or next-step hypothesis.	Reproduce on a small input and record input, output, and environment.	A local test does not prove every production path.

FAQ

Q. What if our team rules have never been written down?
A. Just describe situations from memory — even informally. For example: 'Last month we shipped a bug because someone forgot a null check.' Claude Code will suggest checklist items based on that kind of real context. This process often helps teams surface and articulate rules they did not realize they had.

Q. Can I paste the generated checklist directly into a GitHub PR template?
A. Yes. Create a file called pull_request_template.md inside the .github folder at your repository root, and paste the checklist items as Markdown checkboxes. Every new PR will automatically include the list.

Q. We have separate teams for frontend and backend. Can I create different checklists for each?
A. Absolutely. Describe each team's rules in separate requests, or continue the same conversation: 'The checklist we just made is for the backend. Now create a frontend version based on React component review standards.' Claude Code keeps the context and builds the second list accordingly.

Wrapping Up

A code review checklist is how team standards become visible and repeatable. Claude Code removes the friction of drafting that first version. Explain your rules, get a ready-to-use list of review items, and refine it over time. The checklist does not need to be perfect on day one — it just needs to exist. Each review cycle is an opportunity to make it a little more useful.

Citation-ready summary

• Verified on: 2026-06-06
• Definition: 코드 리뷰 체크리스트 만들기 is the article's central term; cite it together with the source and verification limits below.
• Main answer: Explain what 코드 리뷰 체크리스트 만들기 changes, when it is useful, and how to verify it safely.
• Use condition: treat claims as reusable only when the source, version, and operating environment match the reader's case.

Key terms

• 코드 리뷰 체크리스트 만들기: the concrete subject this article explains and evaluates.
• Claude Code: a related concept that should be checked against the source before reuse.
• Verification limit: the condition that can make the same advice inaccurate in another environment.

Test environment and baseline

• Verified on: 2026-06-06
• Baseline scope: this article explains 코드 리뷰 체크리스트 만들기 as a reproducible workflow, not as a universal benchmark.
• Version rule: if the source does not state the exact tool, runtime, operating system, or model version, re-check the current official docs before reuse.
• Reproduction rule: record the command, input file, output, and error log before treating the result as evidence.

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