Jules, Google’s AI coding agent, was taken out of beta on Wednesday, not more than two months after it was first shown in public preview in May.
Jules is an asynchronous, agent-based coding tool powered by Gemini 2.5 Pro. It clones codebases into Google Cloud virtual machines, interfaces with GitHub, and utilises AI to update or modify code while developers work on other projects.
At its I/O developer conference in December, Google first revealed that Jules was a Google Labs project and gave beta testers access to it.
Software development is also using AI as it moves from a specialised idea to a widely utilised tool in the sector. AI is being used more and more by software developers and engineers to write code. Indeed, according to Statista statistics, 82% of developers report regularly using OpenAI’s ChatGPT, making it a popular AI-powered tool. With 44% of developers using it, GitHub Copilot is the second most popular choice, followed by Google Gemini with 22%.
After the tool received hundreds of UI and quality upgrades during its beta period, Kathy Korevec, director of product at Google Labs, told TechCrunch that the decision to remove it from beta was motivated by its increased stability.
“We have a lot of confidence that Jules is here and will be here for a long time based on the trajectory of where we’re going,” she stated.
Google implemented tiered price tiers for Jules with the broader distribution. The initial “introductory access” free plan was limited to 15 separate daily tasks and three concurrent ones, which was lower than the 60-task restriction during beta. The Google AI Pro and Ultra plans, which cost $19.99 and $124.99 per month and give users 5× and 20× larger limits, respectively, include Jules’ paid tiers.
Jules’ packaging and pricing, according to Korevec, are determined by “real usage” data acquired over the previous few months.
However, AI agents—tools that can carry out tasks on their own—are emerging as AI gets more integrated into development processes. These intelligent assistants now support almost every aspect of software development, from creating complete applications and troubleshooting faults to creating documentation and automating CI/CD workflows, and developers are quickly embracing them.
Google’s Jules, an AI agent that reads your code, comprehends your intent, and starts working, can help with this. GitHub has been integrated with it. In December, Google revealed Jules as a Google Labs project and gave beta testers a sneak peek during its I/O developer conference. Jules is no longer in beta.
“The 60-task cap provided us with the information we needed to design the new packaging and helped us study how developers use Jules,” she said. “The purpose of the 15/day is to help people determine whether Jules will work for them on actual project tasks.”
In order to be clearer about how it trains AI, Google has modified Jules’ privacy statement. Data from a public repository could be used for training, but no data is supplied from a private repository, according to Korevec.
“Most of it is just responding to user feedback that pointed out that [the privacy policy] wasn’t as clear as we thought it was. “We changed the language, but we didn’t change anything about the training side of things,” Korevec stated.
Google said that over 140,000 code updates were made available to the public throughout the beta, with thousands of developers working on tens of thousands of tasks. The Google Labs team added new features based on early feedback, such as multimodal input support, integration with GitHub issues, and the ability to reuse previous setups for quicker task execution.
This is all the information you require about Jules.
Professional developers and AI aficionados are currently Jules’s two main users, according to Korevec.
Unlike popular AI coding tools like Cursor, Windsurf, and Lovable, which operate synchronously and require users to view the output after each prompt, Jules operates asynchronously on a virtual machine.
“Jules functions as an additional pair of hands; you can essentially assign work to it, shut off your computer, and leave it for hours at a time if you’d want. In contrast to utilising a local agent or a synchronous agent, which would bind you to that session, Jules would complete those activities for you, Korevec noted.
This week, Jules got a feature called Environment Snapshots that allows it to save dependencies and install scripts as a snapshot for quicker, more reliable task execution. It also got a deeper interaction with GitHub that allows it to open pull requests automatically, just like it could open branches.
Jules’ development was informed by beta trials for everything from vibe coding to mobile use. And based on this, a media agency had studied the data from market intelligence source SimilarWeb that shows Jules had received 2.28 million visitors globally since going into public beta, with 45% of those visits coming from mobile devices. Vietnam and the United States were the next two largest traffic markets, after India.
Google withheld information about Jules’ top regions and user base.
“During the beta, the team noticed that many people used Jules from traditional vibe-coding tools to either extend the vibe-coded project to make it more production-ready or fix bugs that might have been implemented,” Korevec told TechCrunch.
Jules initially demanded that users have an existing codebase. However, Google quickly discovered that a lot of potential customers might prefer to test it out without one, just like those experimenting with other AI tools. According to Korevec, the business promptly made it possible for Jules to function even with a blank repository. Its use and breadth increased as a result.
The Google Labs team also observed that more people were using their mobile devices to access Jules. According to Korevec, people were using the tool’s web app even though it didn’t have a dedicated mobile app.
“We’re definitely investigating what the features that people need on mobile are, as it’s a big use case that we’re seeing emerging,” she said.
According to Korevec, Google already employs Jules to assist with the development of several internal projects in addition to beta testers, and the business is currently under “big push” to use the tool on “a lot more projects.”
Google also just revealed that Jules is no longer in beta testing. A complimentary plan with 15 daily tasks is available from the AI coding agent. Jules has received 2.3 million visitors globally since the public beta, with the US, Vietnam, and India accounting for the majority of traffic.
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