https://proofline.sh/blog/How deployment failures hide in pull requests, and how we build Proofline to find them.https://proofline.sh/blog/connection-limits/https://proofline.sh/blog/connection-limits/Thu, 08 Oct 2026 00:00:00 GMTRaising a service's task count is a correct change in the diff. Whether production can absorb it depends on numbers that live in the environment, outside the repository.https://proofline.sh/blog/review-ai-generated-code/https://proofline.sh/blog/review-ai-generated-code/Wed, 07 Oct 2026 00:00:00 GMTTo review AI-generated code, Proofline checks it against your production environment, from the terminal or on the pull request. Coding agents write correct-looking code without seeing that environment.https://proofline.sh/blog/code-review-audit-trail/https://proofline.sh/blog/code-review-audit-trail/Wed, 07 Oct 2026 00:00:00 GMTProofline keeps a code review audit trail with one record for each review, and the database refuses updates to a review's findings and evidence bundle. When a deployment goes wrong, the record shows what anyone knew before the change shipped.https://proofline.sh/blog/aws-deployment-review/https://proofline.sh/blog/aws-deployment-review/Wed, 07 Oct 2026 00:00:00 GMTWith AI code review for AWS, Proofline checks each pull request against the account it deploys to. It reads your services, databases, images, and load balancers through a read-only role, then explains how the change could fail there.https://proofline.sh/blog/byok-ai-code-review/https://proofline.sh/blog/byok-ai-code-review/Wed, 07 Oct 2026 00:00:00 GMTProofline runs AI code review on your own model provider key, with your choice of model for each review stage. The Free plan costs $0 per seat, and your provider bills inference.https://proofline.sh/blog/cloud-run-deployment-review/https://proofline.sh/blog/cloud-run-deployment-review/Wed, 07 Oct 2026 00:00:00 GMTProofline reads the settings a Cloud Run service runs with today and checks each pull request against them. Those settings live outside the repository: environment variables, traffic splits, and scaling limits.https://proofline.sh/blog/container-image-review/https://proofline.sh/blog/container-image-review/Wed, 07 Oct 2026 00:00:00 GMTProofline matches the platforms in a container image to the declared runtime, and follows images by digest from the build to the running service. The image a pull request builds has to match what will run it.https://proofline.sh/blog/control-your-ai-code-review/https://proofline.sh/blog/control-your-ai-code-review/Wed, 07 Oct 2026 00:00:00 GMTProofline settings decide when a review runs, what it reads, what it may block, and what it costs. The audit log records every settings change.https://proofline.sh/blog/customizable-ai-code-review/https://proofline.sh/blog/customizable-ai-code-review/Wed, 07 Oct 2026 00:00:00 GMTCustomize code review by telling the reviewer what matters in your organization, each environment, and each repository. Settings cascade from the organization down, and a repository can override what it needs.https://proofline.sh/blog/database-migration-review/https://proofline.sh/blog/database-migration-review/Wed, 07 Oct 2026 00:00:00 GMTProofline reviews a database migration against the version still running, as well as the code in the pull request. The current release keeps using the database while the migration runs.https://proofline.sh/blog/deployment-gates/https://proofline.sh/blog/deployment-gates/Wed, 07 Oct 2026 00:00:00 GMTA merge gate holds a pull request, and a deployment gate holds a deployment, until its review is complete and no blocking finding is open. A fixed policy that you set makes each decision, never the model.https://proofline.sh/blog/deployment-risk-analysis/https://proofline.sh/blog/deployment-risk-analysis/Wed, 07 Oct 2026 00:00:00 GMTProofline analyzes the deployment risk of every pull request across 18 risk domains. It records which domains the change touched, which it skipped, and why.https://proofline.sh/blog/free-ai-code-review/https://proofline.sh/blog/free-ai-code-review/Wed, 07 Oct 2026 00:00:00 GMTRun Proofline's AI code review agent free on the Free plan. You pay $0 per seat, bring your own model key, and your provider bills inference. Evidence connections are read-only.https://proofline.sh/blog/github-actions-workflow-review/https://proofline.sh/blog/github-actions-workflow-review/Wed, 07 Oct 2026 00:00:00 GMTProofline reviews GitHub Actions workflow changes under .github/workflows/ for their build and deployment effects, and checks that every external action is pinned. A workflow file decides what ships and where.https://proofline.sh/blog/google-cloud-deployment-review/https://proofline.sh/blog/google-cloud-deployment-review/Wed, 07 Oct 2026 00:00:00 GMTProofline runs AI code review against the Google Cloud project each pull request deploys to. It needs no stored Google key to read your services, databases, images, and builds.https://proofline.sh/blog/kubernetes-deployment-review/https://proofline.sh/blog/kubernetes-deployment-review/Wed, 07 Oct 2026 00:00:00 GMTIn a Kubernetes deployment review, Proofline compares the manifests in a pull request with the objects your cluster already runs. A valid manifest can still fail in the cluster it lands in.https://proofline.sh/blog/low-noise-ai-code-review/https://proofline.sh/blog/low-noise-ai-code-review/Wed, 07 Oct 2026 00:00:00 GMTLow-noise AI code review means Proofline publishes a finding only when evidence supports it, says it once, and records the rest without posting. A reviewer that comments on everything trains people to ignore it.https://proofline.sh/blog/secure-ai-code-review/https://proofline.sh/blog/secure-ai-code-review/Wed, 07 Oct 2026 00:00:00 GMTProofline limits what its AI code review model can reach, so a manipulated model cannot widen its own access. The reviewer reads code from people you do not control, and text that may try to steer it.https://proofline.sh/blog/terraform-pull-request-review/https://proofline.sh/blog/terraform-pull-request-review/Wed, 07 Oct 2026 00:00:00 GMTProofline reads your Terraform state and the pull request's plan beside the diff, so a review can say what the change does to resources that already exist. The diff alone shows only the configuration you changed.https://proofline.sh/blog/vercel-cloudflare-deployment-review/https://proofline.sh/blog/vercel-cloudflare-deployment-review/Wed, 07 Oct 2026 00:00:00 GMTProofline reads routing and rollout state from Vercel and Cloudflare Workers, so a pull request review can account for what is already deployed. Edge platforms keep that state outside the repository.