Google launches Jules Tools, a CLI and API that embed its AI coding agent into developer workflows, enhancing automation and productivity.
For developers, constant context switching—shifting between terminals, browsers, and collaboration tools—is one of the biggest productivity killers. Google’s latest offering, Jules Tools, aims to solve this challenge. With its new command-line interface (CLI) and public API, Google brings its autonomous coding agent directly into the daily environments that developers rely on, from the command line to CI/CD pipelines and even Slack.
This shift marks a major evolution for Jules—from being a web- and GitHub-based assistant to becoming a deeply embedded part of the development workflow, where it can handle coding tasks with minimal friction.
With the CLI, developers can start, stop, and verify coding tasks directly within their terminal, eliminating the need for constant context switching between browsers and editors. The public API enables seamless integration with IDEs like VSCode, custom systems, and workplace apps. For example, coding tasks can now be triggered automatically within Slack or CI/CD environments for greater efficiency.
Unlike Google’s Gemini CLI, which focuses on back-and-forth collaboration, Jules Tools is optimized for very scoped tasks. The assistant autonomously creates execution plans and completes assignments with minimal user intervention. Powered by Google’s Gemini 2.5 Pro AI model, Jules Tools introduces advanced features such as:
Persistent memory to retain user preferences
Environment variable management
Stacked-diff code reviews
Pull request awareness for reading and responding to comments
By embedding AI into the core of developer workflows, Google aims to streamline productivity, reduce interruptions, and deliver a more autonomous coding experience.
Positioning in the AI Coding Race
This launch signals Google’s intent to directly compete with Microsoft’s GitHub Copilot and other AI-first coding platforms. By prioritizing automation, persistence, and integration, Jules Tools could become a leading solution for teams seeking reduced workflow interruptions and faster delivery cycles.
In essence, Jules Tools transforms AI from an external helper into a built-in developer teammate—always present, proactive, and workflow-native.
Looking ahead
The upcoming DSC Next 2026 conference in Amsterdam will showcase breakthroughs like Jules Tools, bringing together AI and data science leaders to discuss the future of autonomous coding, workflow integration, and intelligent development practices.
