Code Review Checklist Generator
Paste a public pull request and get a checklist on how to review it, or configure one manually by language, change type, and relevant quality risks.
Import a public pull request
Scopy reads public GitHub metadata and changed-file details to build a starting checklist, then can ground each item in the actual patches with one AI call.
Generated review checklist
Import a public pull request to generate a checklist grounded in its changed files.
Why use a focused code review checklist?
A checklist is useful when it directs attention toward concrete failure modes. It becomes noise when every review receives every possible question. Paste a pull request and Scopy detects the language, change type, and relevant focus areas from the actual files changed — or configure those inputs by hand for a change that has not been opened yet.
The instant checklist is deterministic: built from the language, change type, and the focus areas that apply, with no model call involved. When you want more, one click grounds the same checklist in the pull request's patch excerpts — naming the actual functions, routes, and edge cases a reviewer should look at instead of generic prompts.
Checklists work best as a floor, not a ceiling. They catch the checks people skip when tired — error paths, permission scope, missing tests — and free reviewer attention for the judgment calls no checklist can encode. If your team keeps leaving the same review comment, that comment belongs in the checklist, or better, in an automated rule.
The generated checklist complements tests, static analysis, and reviewer judgment. It does not establish that the implementation is correct simply because every item was checked.
Related reading: Code review best practices for fast-moving teams.
Frequently asked questions
- Does this tool use AI?
- Only if you ask it to. Importing a pull request builds an instant checklist deterministically from its language, change type, and changed-file signals, with no model call and nothing sent to our servers. The optional AI draft sends the PR metadata and patch excerpts to our server for a single model call, grounds the checklist in that evidence, and stores nothing.
- Should every pull request use the same review checklist?
- No. A dependency bump and an authorization change deserve different questions. Import each pull request separately, or generate one per change type manually, and let review depth follow risk rather than habit.
- How long should a code review checklist be?
- Short enough that reviewers actually run it — usually 8 to 15 items. Past that, people check boxes without reading. If a category never produces findings for your team, remove it.
- Can the checklist replace an AI or human reviewer?
- No. A checklist prompts attention; it cannot read the code. Teams typically combine a short checklist for authors, automated review for the mechanical first pass, and human review for design and intent.
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