Continue is an open-source AI coding tool that underwent a major product pivot in 2026. It shifted from its original identity as an IDE autocomplete and chat extension to a CLI-first platform focused on asynchronous AI agents designed for CI/CD pipelines and automated pull request review. The project remains fully free and open-source under an Apache 2.0 license.
The Checks system is the centerpiece of the 2026 pivot. Teams define review policies in plain Markdown files using natural language — for example, specifying that all PRs must include test coverage for new functions, follow a particular naming convention, or avoid certain anti-patterns. AI agents automatically run these checks against every incoming pull request, providing automated feedback without requiring human review for routine compliance issues.
Headless mode allows Continue agents to run in cloud CI/CD environments with no user interface. This enables integration with GitHub Actions, GitLab CI, and other pipeline tools, so review agents execute automatically on every code push or PR open event. TUI mode provides an interactive terminal interface for users who prefer a keyboard-driven workflow, while Shell mode allows agents to execute arbitrary terminal commands as part of their task execution.
URL context is a practical convenience feature: developers can paste any URL directly into the chat interface, and Continue fetches and incorporates the page content as context for the current task. This is useful for referencing documentation, issue trackers, or third-party API references without copying and pasting content manually.
Devstral support adds tool-calling capabilities through the Mistral Devstral model, enabling agents to invoke external tools and APIs as part of automated workflows. Continue supports all major LLM providers and local models via Ollama, preserving its model-agnostic design philosophy.
Continue is best for engineering teams that want to automate code review and CI/CD quality checks with natural language policies, and for developers who prefer an open-source, model-agnostic alternative to proprietary coding agents.
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