Jules
Jules is an asynchronous AI coding agent that integrates with GitHub to autonomously plan, code, and test software tasks within secure, cloud-based virtual machines. It is designed to work in the background, allowing developers to assign GitHub issues and receive completed pull requests without active supervision.
Introduced Gemini 3.1 Pro as the default model for Pro users, added Model Context Protocol support, launched a REST API for task automation, and previewed the upcoming goal-driven Project Jitro.
As of
- Autonomous async workflow using GitHub issues and PRs
- Automatic CI failure detection and fix loop
- Scheduled recurring tasks for maintenance like dependency audits
- Isolated cloud-based virtual machine execution environment
- API access for programmatic integration into custom pipelines
Batch maintenance tasks, dependency updates, CI/CD failure resolution, and backlog cleanup in Python or TypeScript projects on GitHub.
Real-time pair programming, complex architectural discussions, projects hosted on GitLab/Bitbucket, or files exceeding 50,000 lines.
Free tier with 15 tasks/day; Pro plan is $19.99/month (100 tasks/day) and Ultra plan is $124.99/month (300 tasks/day). Paid plans are currently limited to individual Google Accounts.
Jules is an excellent asynchronous 'junior developer' for automating repetitive maintenance and CI cleanup, though it lacks the interactivity required for complex, real-time collaborative coding.
Is Jules free?
Jules is Freemium. Free tier with 15 tasks/day; Pro plan is $19.99/month (100 tasks/day) and Ultra plan is $124.99/month (300 tasks/day). Paid plans are currently limited to individual Google Accounts. Check the official site for current plans.
What is Jules best for?
Batch maintenance tasks, dependency updates, CI/CD failure resolution, and backlog cleanup in Python or TypeScript projects on GitHub.
Who makes Jules?
Jules is developed by Google. It is listed in the Autonomous & Async Agents category on ai.dosa.dev.
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