AI code review that reads your infrastructure

What a review checks

Many failures pass code review because the defect is not in the diff. The code is correct, but the database, the cluster, or the deployment workflow cannot run it.

Proofline pins each review to the exact commit and to a recorded snapshot of the target environment. The reviewer writes concrete failure hypotheses and investigates each one against both. It publishes a finding only when the evidence supports it.

If evidence is missing or stale, the review says so and names the cause. An unknown never counts as a pass. See how a review works.

Set up reviews for your team

• BYOK code review
  Run reviews on your own Anthropic, OpenAI, Gemini, or OpenAI-compatible key.
• Free AI code review agent
  Run reviews at $0 per seat with your own model key.
• Customizable code review
  Write review rules, repository configuration, and focused review skills.
• Full control over your code review
  Decide when reviews run, what they read, what they cost, and what they block.
• Deployment gates
  Hold a merge or a deployment until its review completes.
• Review AI-generated code
  Review agent output from the terminal, in CI, or on the pull request.

Trust what a review says

• Deployment risk analysis
  See the 18 risk domains and how a review chooses them.
• Low-noise AI code review
  Get only the findings the evidence supports, each posted once.
• Code review audit trail
  Keep an append-only record of every review and decision.
• Secure AI code review
  Limit what the reviewer model can reach.

Review changes by the infrastructure they touch

• AI code review for AWS
  Check changes against ECS, RDS, ECR, load balancers, and more.
• AI code review for Google Cloud
  Check changes against Cloud Run, Cloud SQL, Artifact Registry, and Cloud Build.
• Cloud Run deployment review
  Compare code with live revisions, traffic, and environment variable names.
• Kubernetes deployment review
  Compare manifests with the live objects in your EKS, GKE, or self-managed cluster.
• Vercel and Cloudflare Workers review
  Account for deployments, version splits, and routes at the edge.
• Terraform pull request review
  Read Terraform and OpenTofu state and plans beside the change.
• Database migration review
  Find schema changes that break the version still running.
• GitHub Actions workflow review
  Flag unpinned actions and review deployment workflow changes.
• Container image review
  Match image platforms to the runtime and follow images by digest.

Questions

What is Proofline?

Proofline is an AI code review agent for GitHub pull requests. It checks each change against a recorded snapshot of the environment it deploys to, and comments only on findings the evidence supports.

How is Proofline different from other AI code reviewers?

Proofline reads the infrastructure a change deploys to, such as the database, the cluster, and the deployment workflow, and cites those facts in the findings they support. Most AI code reviewers read only the repository. Compare Proofline with other reviewers.

Does Proofline replace human code review?

No. Proofline looks for failures that depend on the target environment. Your team still reviews design and intent, and Proofline's findings arrive on the same pull request.

Which infrastructure does Proofline support?

Proofline reads AWS, Google Cloud, Vercel, Cloudflare Workers, Terraform and OpenTofu state, GitHub Actions, Docker Compose, and Backstage. It also reads Kubernetes clusters on EKS, GKE, or your own servers. It reviews pull requests on GitHub. See every integration.

Can I run Proofline in my own cloud?

Yes. Enterprise customers can run Proofline on premises or in their own cloud account, as a bring your own cloud (BYOC) deployment. See Enterprise pricing.