Google Jules is an autonomous, asynchronous AI coding agent developed by Google Labs and powered by Gemini models (such as Gemini 2.5 Pro and Gemini 3 Pro). [1, 2, 3]
Unlike real-time AI coding assistants like GitHub Copilot or ChatGPT (which suggest code while you type or chat), Jules acts as an independent background teammate. [4, 5]
Core Functions & Workflow
- Task Delegation: You assign high-level or scoped tasks (such as fixing bugs, writing tests, bumping dependencies, or building new features) via GitHub, the web app, the command-line interface (Jules Tools), or the Jules API. [2, 6, 7, 8]
- Cloud Sandboxing: Jules clones your repository into a secure Google Cloud virtual machine (VM), analyzes project context, executes a plan, runs tests, and works independently in the background. [1, 2]
- Pull Requests: Once finished, it presents its reasoning, plan, and a code diff for your approval before generating a standard GitHub pull request. [2, 9]
- Privacy: It operates privately by default and does not train on your private code. [2]
How to Access It
You can try or manage tasks through the official Google Jules website, via GitHub integration, or by installing the CLI tool via npm (
npm install -g @google/jules). [1, 2, 6] Would you like to know more about Jules' pricing tiers, how to set it up with a GitHub repository, or how it compares to tools like Google Antigravity?
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