Powered by Gemini 2.5, the technology which debuted among testers in May, has left the beta stage.
Google has officially launched Jules, its AI coding agent, which has been at the beta phase since May of this year. Powered by Gemini 2.5 Pro, the model was ‘taught’ by thousands of developers who addressed tens of thousands of tasks, resulting in the public sharing of more than 140,000 code improvements.
The AI assistant can integrate itself with GitHub and other existing data storage technology, cloning your codebase into a secure Google Cloud Virtual machine. It can be used to perform tasks such as writing tests, feature building, providing audio changelogs and fixing bugs.
According to Google, “Jules operates asynchronously, allowing you to focus on other tasks while it works in the background. Upon completion, it presents its plan, reasoning and a diff of the changes made. Jules is private by default, it doesn’t train on your private code and your data stays isolated within the execution environment.”
Amid the wider launch, Google has introduced a structured, pricing tier system, starting with introductory access, a free plan that would allow a user to work on 15 individual tasks daily and three concurrent projects. Paid subscriptions include Google AI Pro and Ultra for people who have more intensive requirements.
Agentic AI is the core focus for a number of key industry players in the technology space currently. With the power to autonomously work towards organisational ambitions and targets, with less human involvement, many companies are looking to AI-powered assistants to tackle complex and mundane tasks.
In July of this year, French technology services company Capgemini acquired US company WNS for $3.3bn. The business explained, through the acquisition it aims to create “a leader in intelligent operations to capture enterprise investment in agentic AI to transform their end-to-end business processes”.
OpenAI also recently launched a new agentic AI feature, that reportedly has the ability to think and act proactively, via its own computer. The company stated that the new technology would give users far more power and control in the handling of tasks.
However, it also introduced the idea that being novel and future-focused places the tech in a high risk category and that as a result, it must be used alongside a range of advanced safety features and regulatory policies.
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