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Google launches AI coding agent Jules
developers

Google launches AI coding agent Jules

Google launches Jules, an AI coding assistant running on Gemini 2.5 Pro, enabling asynchronous code tasks and deep GitHub integration.

August 7, 2025
5 min read
Mels Dees

Google launches Jules, an AI coding assistant running on Gemini 2.5 Pro, enabling asynchronous code tasks and deep GitHub integration.

Google Launches AI Coding Agent Jules

Google has officially launched its AI coding assistant Jules and taken it out of beta. The tool, introduced as a public preview at the end of May, is now available as a regular product. Jules runs on Gemini 2.5 Pro and is designed as an asynchronous, agent-based programming assistant that supports developers in various tasks. The system integrates with GitHub, clones repositories to a virtual cloud environment within Google Cloud, and independently performs operations on the code. This allows developers to outsource multiple processes without needing to be actively involved in every step. Unlike traditional AI tools that work synchronously and require direct interaction, Jules performs tasks completely asynchronously. Developers can initiate tasks, shut down their laptops, and return later to retrieve results. This makes Jules especially suitable for long-running or routine tasks that don't require continuous monitoring. During its beta phase, Jules supported thousands of developers. It was used for detecting and resolving bugs, expanding existing projects, and performing maintenance based on previously generated code. Jules proved particularly effective for repetitive development tasks such as creating test scripts, adjusting dependencies, and performing structural refactorings. Additionally, the agent supports generating changelogs and can read them aloud, enhancing usability in situations where visual attention is limited.

Limitations of the free version

With the official rollout, Google introduced a modified pricing structure. The free entry-level version allows users to perform fifteen tasks per day with a maximum of three simultaneous processes, a reduction from the sixty tasks per day available during beta. For heavier use, Pro and Ultra subscriptions are offered at €21.99 and €274.99 per month in Europe, providing five and twenty times more processing capacity respectively, both in task count and parallel sessions. The pricing is based on data collected during testing to better understand usage behavior and optimize product positioning. The current free limits aim to give developers a realistic sense of how Jules can be applied in real projects. Privacy terms have been tightened: public repositories may be used to train the AI, but private projects are excluded from training and analysis. Commands run through Google Cloud infrastructure, which may raise caution among some developers despite Google's assurances of data minimization.

Thousands of code improvements

During beta, Jules generated thousands of code improvements from tens of thousands of tasks. This phase revealed the need for features like reusing previous setups for faster execution, multimodal input support, and deeper GitHub integration, including automatic pull request creation. The platform was also enhanced to work better without an existing codebase, allowing users to start even with an empty repository. This improves accessibility for users experimenting with AI without a prior project. Usage statistics show millions of visits worldwide, with a significant portion from mobile devices. Despite lacking a native mobile app, many developers access Jules via the web interface on their phones. Internally, Google uses Jules for its own development projects and views it as a strategic component of its development stack.
Source: Techzine

Frequently Asked Questions (FAQ)

About Jules AI Coding Agent

Q: What is Jules? A: Jules is an AI coding assistant developed by Google that uses Gemini 2.5 Pro to help developers with various programming tasks. Q: How does Jules work? A: Jules integrates with GitHub, clones repositories into a Google Cloud environment, and independently performs operations on the code. It is designed to work asynchronously, meaning developers can initiate tasks and retrieve results later without continuous supervision. Q: What kind of tasks can Jules assist with? A: Jules can help with detecting and resolving bugs, expanding existing projects, performing maintenance, creating test scripts, adjusting dependencies, structural refactorings, generating changelogs, and reading them aloud. Q: What are the limitations of the free version of Jules? A: The free version allows for fifteen tasks per day with a maximum of three simultaneous processes. Q: What are the pricing tiers for Jules? A: Google offers Pro and Ultra subscriptions at €21.99 and €274.99 per month in Europe, respectively, providing increased processing capacity. Q: Does Jules use private code for training? A: Google states that public repositories may be used for training, but private projects are excluded from training and analysis. Q: Are there any privacy concerns with Jules? A: Commands run through Google Cloud infrastructure, and while Google assures data minimization, some developers may have privacy concerns. Q: How accessible is Jules on mobile devices? A: Millions of visits to Jules come from mobile devices, with many developers accessing it via the web interface on their phones, despite the lack of a native mobile app.

Crypto Market AI's Take

The launch of Google's AI coding assistant, Jules, signifies a growing trend in leveraging AI for development and productivity. At Crypto Market AI, we also harness the power of AI through our advanced AI agents and trading bots to provide sophisticated market analysis and automated trading solutions. Just as Jules streamlines coding tasks, our AI tools aim to simplify and optimize cryptocurrency trading for our users, offering insights and execution capabilities that can significantly enhance investment strategies. The integration of AI in various sectors, from coding to finance, highlights its transformative potential in automating complex processes and driving efficiency.

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