Continue
AI checks that enforce code standards on every pull request
Continue runs source-controlled AI checks on pull requests and reports results as GitHub status checks. It’s aimed at engineering teams that want automated review for specific standards, with humans still deciding whether to accept suggested fixes.
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About
Continue is an AI code quality tool for software teams. It focuses on running predefined checks against pull requests, then surfacing the result as a native GitHub status check with a suggested fix when something fails.
It appears aimed at developers and engineering organizations that want to enforce review standards in a repeatable way rather than rely on ad hoc AI chat. According to the docs, you define checks as markdown files in your repo, and Continue runs them on PR diffs.
Setup starts with signing up on Continue’s website and connecting it to GitHub. The documentation also references running checks locally and in CI, and it exposes checks through a CLI and IDE extensions.
Continue is more of an AI-assisted code review workflow than a fully autonomous agent. It can evaluate PRs, flag issues, and suggest fixes, but the decision to accept or reject those fixes stays with humans. That makes it useful for enforcement and consistency, but not for end-to-end engineering automation.
The documentation suggests the system is designed around your own written checks, which makes it flexible but also dependent on how well you author those rules. Pricing was not publicly available in the crawled content. It’s also unclear from the provided pages which AI models it uses, whether it supports local models, and what privacy or data-retention controls are available.
Executes tasks you assign, one step at a time, within narrow domains.
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