Continue Review 2026

Continue runs source-controlled AI checks on pull requests so software teams can enforce engineering standards automatically.

Continue is an AI coding assistant platform that has shifted from a general IDE assistant into a more opinionated “continuous AI” workflow for pull-request quality control. The current homepage positions Continue as source-controlled AI checks for every pull request: teams write checks as markdown files in a repository, Continue runs them against PR diffs, and the result appears as a native GitHub status check. That is different from a chatbot that waits for a developer to ask a question. Continue is designed to enforce known engineering standards repeatedly, such as security review, “anti-slop” checks, avoiding reinvented internal utilities, and project-specific review rules.

The docs make the implementation model concrete. Checks live in `.continue/checks/` and include frontmatter such as `name` and `description`, followed by a prompt that tells the AI exactly what to inspect. A security check can fail a PR for hardcoded API keys, missing input validation on new endpoints, SQL queries built with string concatenation, or sensitive data logged to stdout. When a check fails, Continue can suggest a fix that a developer accepts or rejects from GitHub. That human-in-the-loop design is a strength: the AI enforces mechanical review rules, but the team still decides what gets merged.