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Critiq vs Copilot code review for pull request checks.

Copilot code review brings fluent AI comments to GitHub pull requests. Critiq is an open source CLI with deterministic rules you can read, run locally, and gate in CI before merge.

Where Copilot code review shines

Fast, conversational feedback on the diff

Copilot meets reviewers where they already work in GitHub. It summarizes changes and suggests fixes in natural language without asking teams to install a separate analyzer first.

  • Native GitHub pull request integration with comments surfaced on the diff.
  • Natural-language summaries that read quickly for small, familiar changes.
  • Low setup for teams already paying for Copilot across the org.
  • Useful nudges on style, missing tests, and obvious issues during review.
  • Part of a broader Copilot surface (IDE, chat, agents) when you want one vendor.

Side by side

AI fluency vs inspectable rules

Both can comment on pull requests. The trade-off is reproducible rule IDs and local runs vs AI-generated prose you cannot diff across CLI versions.

FeatureCritiqGitHub Copilot code review
Open source core you can auditYes. CLI, rules catalog, and GitHub Action are OSS.No. Copilot code review is a hosted GitHub / Microsoft product.
Runs locally without sending the repo to a review APIYes. `npx @critiq/cli check` on your machine or in CI.No for Copilot review. Analysis runs on GitHub-hosted infrastructure.
Stable rule IDs and severities across runsYes. Findings fingerprint on catalog rule hashes.No. Comments are model output, not tied to versioned rule fixtures.
Inline PR comments on the diffYes via the open source critiq-action GitHub Action.Yes via Copilot code review on supported GitHub plans.
Reproduce a finding on your laptop before CIYes. Same command and rules pack locally and in CI.Limited. You cannot replay the exact Copilot comment outside GitHub.
Custom org rules in git with RuleSpec testsYes. YAML rules in `.critiq/rules` or `@critiq/rules` catalog.No equivalent public rule DSL. Prompting and org policy only.
AI-generated summaries and suggested fixesNo AI reviewer shipped. Deterministic rules only today.Yes. Core value is fluent AI review on the diff.

When Critiq fits

Choose Critiq when trust requires evidence, not vibes

Critiq is for teams that want review automation they can argue about on the merits: rule IDs, severities, and local reproduction before merge.

Reviewers need to verify findings offline

Run the same check locally that CI will run. No black-box comment you cannot replay with `npx @critiq/cli check`.

Security and compliance want inspectable policy

Rules live in git with fixtures. Auditors can read what blocked a merge instead of trusting model prose.

You want OSS exit ramps

Fork the catalog, pin rule versions, and diff behavior across releases without a single-vendor AI lock-in.

You still use Copilot in the IDE

Many teams pair IDE assistance with deterministic PR gates. Critiq does not ask you to uninstall Copilot.

Frequently asked questions

Is Critiq a replacement for Copilot code review?
Not if you want AI-generated summaries on every pull request inside GitHub. Critiq is a rule-based code review CLI for teams that need reproducible, inspectable checks. Many teams use both: Copilot in the IDE and Critiq as a deterministic gate in CI.
Can Critiq and Copilot review the same pull request?
Yes. Critiq-action can comment alongside Copilot review. Critiq findings cite stable rule IDs; Copilot comments are independent AI output.
Does Critiq use large language models for review?
The shipped OSS CLI does not use an LLM reviewer. Findings come from the rules engine and adapters over your source. Optional AI layers are roadmap, not marketed today.
Which is better for regulated environments?
Teams under audit pressure often prefer Critiq because rules, severities, and fixtures are versioned artifacts. Copilot review is harder to diff across model or policy changes.
npx @critiq/cli check --base origin/main --head HEAD

Run deterministic checks before you merge.

Install the OSS CLI, scan your diff locally, and read the rules behind every finding.