Google Labs just rolled out new tools to make working with AI coding agents easier and more integrated. They introduced Jules Tools, a command-line interface (CLI), and the Jules API, both designed to help developers incorporate AI-powered coding into their daily workflows.

Bringing Jules into Your Terminal

Jules Tools is a simple CLI that puts Jules right into the developer’s terminal. Instead of just chatting with Jules, developers can now start, stop, and check on Jules tasks next to their regular commands. This makes it much easier to switch between coding and managing AI tasks without opening separate apps or interfaces. Google Labs says this is the easiest way to go from talking about Jules in chat to actually running it alongside your code work.

Jules works asynchronously across different parts of software development. It can generate code, write tests, fix bugs, create pull requests, or update dependencies. Basically, it can handle many tasks that developers usually spend time on, helping to speed up the entire process.

Connecting Jules with Your Tools Using the API

The Jules API is in early preview but offers powerful options for automation. Developers can now embed Jules into custom workflows or connect it directly to continuous integration and delivery (CI/CD) systems like GitHub Actions. This means Jules can automatically fix bugs, review code, or perform other tasks as part of the build process.

Google Labs also said the API makes it easy to integrate Jules into popular tools like Slack, Jira, Linear, and GitHub. This allows teams to get AI assistance directly within the tools they already use every day, improving collaboration and reducing manual effort.

New Features That Make Jules Smarter

Recently, Google Labs added several updates to make Jules more useful. One new feature is a file selector, which lets developers specify exactly which files Jules should work on for a particular task. This keeps things focused and efficient.

Another addition is a memory feature. Jules can remember preferences for specific repositories and automatically apply them in future tasks. This personalization saves time and makes Jules more aligned with each project’s needs. Environment variables can now be set at the repository level, making it easier to customize how Jules runs tasks in different contexts.

Jules can also now read and respond to comments in pull requests. This means it can participate in code reviews more naturally, providing suggestions or clarifications based on the conversation happening in the pull request.

In summary, Google’s new Jules tools are making AI-powered coding more accessible and integrated into everyday development workflows. With a CLI, API, and several smart features, Jules is set to become a valuable assistant for developers looking to enhance productivity and streamline their software projects.

Inspired by

• https://www.infoworld.com/article/4070496/googles-jules-coding-agent-adds-cli-api.html

Sources

• gmpg.org
• jules.google
• googleblog.com
• jules.google
• podigee.com