Google Unveils Jules AI Coding Agent as Full Launch After Successful Beta
Google has officially launched its AI coding agent Jules out of beta, marking a major step forward in its AI-powered development tools. First introduced as a Google Labs project in December and later unveiled in a public preview at Google I/O in May, Jules is now available to a broader audience. Powered by Gemini 2.5 Pro, Jules is an asynchronous AI agent designed to handle coding tasks independently. It integrates directly with GitHub, clones codebases into secure Google Cloud virtual machines, and autonomously fixes or updates code while developers focus on other work. This model sets it apart from real-time, synchronous tools like Cursor, Windsurf, and Lovable, which require constant user attention. Kathy Korevec, director of product at Google Labs, said the decision to exit beta was driven by significant improvements in stability and performance, following hundreds of UI and functionality updates during the beta phase. “The trajectory of where we’re going gives us a lot of confidence that Jules is around and going to be around for the long haul,” she said. With the full launch, Google has introduced new pricing tiers. The free “introductory access” plan allows up to 15 individual tasks per day and three concurrent tasks—down from the 60-task limit during beta. Paid plans are included in Google AI Pro ($19.99/month) and Google AI Ultra ($124.99/month), offering five and twenty times higher task limits, respectively. These tiers were shaped by real-world usage data collected during the beta. Google also updated Jules’ privacy policy to clarify how data is used for AI training. Public repositories may be used to train the model, but private code is not sent to Google. Korevec said the changes were made in response to user feedback about clarity, noting that the actual data practices remained unchanged. During the beta, thousands of developers completed tens of thousands of tasks, resulting in over 140,000 code improvements shared publicly. Feedback led to key enhancements, including the ability to reuse previous project setups, integrate with GitHub issues, and support multimodal inputs such as images and natural language descriptions. Jules’ primary users have been AI enthusiasts and professional developers. Its asynchronous nature allows developers to start a task and step away—returning hours later to find it completed—making it ideal for hands-off coding workflows. The tool now features deeper GitHub integration, including automatic pull request creation and Environment Snapshots, which save project dependencies and setup scripts for faster, consistent execution. Data from SimilarWeb shows Jules attracted 2.28 million global visits during the beta, with 45% coming from mobile devices. India led in traffic, followed by the U.S. and Vietnam. Although there is no dedicated mobile app, users are accessing the web-based version on smartphones, prompting Google to explore mobile-specific features. Korevec also revealed that Google already uses Jules internally to develop some projects and plans to expand its use across more teams. The tool’s evolution has been shaped by beta user behavior, including a shift from using it with existing codebases to experimenting with empty repositories—prompting Google to make it accessible even without a pre-existing project.