Continue – Source-controlled AI checks, enforceable in CI
We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…
In plain words
Continue runs AI checks on pull requests to maintain code quality and consistency when teams use AI agents for development. Teams define checks as source-controlled markdown files that appear as GitHub status checks, with each check running as a full agent capable of reading and writing files, executing bash commands, and using a browser. When a check finds issues, it fails with an option to accept a suggested diff; otherwise it passes silently. The tool helps reduce PR review fatigue and enforce standards across high-volume AI-assisted codebases.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds something, the check fails with one click to accept a diff. Otherwise, it passes silently. Here’s one of ours: .continue/checks/metrics-integrity.md --- name: Metrics Integrity description: Detects changes that could inflate, deflate, or corrupt metrics (session counts, event accuracy, etc.) --- Review this PR for changes that could unintentionally distort metrics. These bugs are insidious because they corrupt dashboards without triggering errors or test failures. Check for: - "Find or create" patterns where the "find" is too narrow, causing entity duplication (e.g. querying only active sessions, missing completed ones, so every new commit creates a duplicate) - Event tracking calls inside loops or retry paths that fire multiple times per logical action - Refactors that accidentally remove or move tracking calls to a path that executes with different frequency Key files: anything containing `posthog.capture` or `trackEvent` This check passed without noise for weeks, but then caught a PR that would have silently deflated our session counts. We added it in the first place because we’d been burned in the past by bad data, only noticing when a dashboard looked off. --- To get started, paste this into Claude Code or your coding agent of choice: Help me write checks for this codebase: https://continue.dev/walkthrough It will: - Explore the codebase and use the `gh` CLI to read past review comments - Write checks to `.continue/checks/` - Optionally, show you how to run them locally or in CI Would love your feedback!
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