Google connected Wednesday launched its AI coding agent, Jules, retired of beta, conscionable complete 2 months aft its public preview debut successful May.
Powered by Gemini 2.5 Pro, Jules is an asynchronous, agent-based coding instrumentality that integrates pinch GitHub, clones codebases into Google Cloud virtual machines, and uses AI to hole aliases update codification while developers attraction connected different tasks.
Google initially announced Jules arsenic a Google Labs task successful December and made it available to beta testers done a nationalist preview astatine its I/O developer conference.
Kathy Korevec, head of merchandise astatine Google Labs, told TechCrunch that nan tool’s improved stableness drove nan determination to return it retired of beta aft receiving hundreds of UI and value updates during its beta phase.
“The trajectory of wherever we’re going gives america a batch of assurance that Jules is astir and going to beryllium astir for nan agelong haul,” she said.
With nan wider rollout, Google introduced system pricing tiers for Jules, starting pinch an “introductory access” free scheme capped astatine 15 individual regular tasks and 3 concurrent ones, down from nan 60-task limit during beta. Jules’ paid tiers are portion of nan Google AI Pro and Ultra plans, which are priced astatine $19.99 and $124.99 a month, and connection subscribers 5× and 20× higher limits, respectively.
Korevec noted that Jules’ packaging and pricing are based connected “real usage” insights gathered complete nan past mates of months.
“The 60-task headdress helped america study really developers usage Jules and gave america nan accusation we needed to creation nan caller packaging,” she said. “The 15/day is designed to springiness group a consciousness of whether Jules will activity for them connected existent task tasks.”
Google besides updated Jules’ privateness argumentation to beryllium much definitive astir really it trains AI. If a repository is public, its information whitethorn beryllium utilized for training, but if it is private, Korevec said that nary information is sent.
“We sewage a small spot of feedback from users that it [the privateness policy] wasn’t arsenic clear arsenic we thought it was, and truthful we’re astir of it is conscionable responding to that. We didn’t alteration thing astir what we’re doing connected nan training side, but we changed nan language,” Korevec said.
During nan beta, Google said that thousands of developers tackled tens of thousands of tasks, resulting successful complete 140,000 codification improvements shared publicly. Initial feedback led nan Google Labs squad to adhd caller capabilities, including reusing erstwhile setups for faster task execution, integrating pinch GitHub issues, and supporting multimodal input.

The 2 superior users of Jules truthful acold are nan AI enthusiasts and master developers, Korevec said.
By moving asynchronously successful a virtual machine, Jules stands isolated from apical AI coding devices for illustration Cursor, Windsurf, and Lovable, which each activity synchronously and require users to watch nan output aft each prompt.
“Jules operates for illustration an other group of hands… you tin fundamentally footwear disconnected tasks to it, and past you could adjacent your machine and locomotion distant from it if you want and past travel backmost hours later. Jules would person those tasks done for you, versus if you were doing that pinch a section supplier aliases utilizing a synchronous agent, you would beryllium bound to that session,” Korevec explained.
This week, Jules received a deeper integration pinch GitHub to open propulsion requests automatically — conscionable for illustration it could unfastened branches — and a characteristic called Environment Snapshots to prevention limitations and instal scripts arsenic a snapshot for faster, much accordant task execution.
From vibe coding to mobile use, beta tests informed Jules improvement
Since entering nationalist beta, Jules has logged 2.28 cardinal visits worldwide, 45% of them from mobile devices, per information from marketplace intelligence supplier SimilarWeb, reviewed by TechCrunch. India was nan apical marketplace for traffic, followed by nan U.S. and Vietnam.
Google did not stock specifics connected Jules’ personification guidelines and its apical geographies.
Korevec told TechCrunch that during nan beta, nan squad observed that galore group utilized Jules from accepted vibe coding devices to either hole bugs that mightiness person been implemented aliases widen nan vibe-coded task to make it much production-ready.
Originally, Jules required users to person an existing codebase. But Google soon realized galore imaginable users — for illustration those trying different AI devices — mightiness want to research it without one. Korevec said nan institution quickly enabled Jules to activity moreover pinch an quiet repository. That helped summation its scope and usage.
Google Labs’ squad besides noticed an expanding number of users accessing Jules done their mobile devices. Although nan instrumentality does not person a dedicated mobile app, Korevec said users were accessing it done its web app.
“Since it’s a large usage lawsuit that we’re seeing emerging, we’re perfectly exploring what nan features are that group request connected mobile a batch more,” she noted.
Alongside beta testers, Korevec stated that Google already uses Jules to thief create immoderate projects internally, and location is now a “big push” to usage nan instrumentality connected “a batch much projects” astatine nan company.