A new tool called Continue tackles the challenge of maintaining code quality when AI agents write most of your code. The platform runs AI-powered checks on every pull request by executing source-controlled markdown files that appear as GitHub status checks. Unlike simple diff analysis, these checks can read and write files, run bash commands, and even use a browser.

Each check lives in the `.continue/checks/` directory and operates as a full agent. When a check finds an issue, it fails with one-click diff acceptance; otherwise, it passes silently. One example catches metric integrity problems like duplicate entities from narrow queries or event tracking calls firing multiple times in loops. The tool recently caught a PR that would have silently deflated session counts, demonstrating its practical value.

Getting started is straightforward: paste a command into your coding agent to explore the codebase, read past review comments, and generate checks. This approach addresses the review fatigue that emerges when AI-generated PRs pile up, ensuring consistency without sacrificing speed. The solution represents a practical evolution in automated code review for teams embracing AI-assisted development.