JetBrains AI

We’re about to start rolling out a new set of AI capabilities that provide shared context, reusable agentic workflows, organization-level governance, and cost control for software production. Developers use different AI tools depending on the task – from JetBrains IDEs to terminal-based agents su…

Born out of a deep partnership between JetBrains and GitHub, this integration makes Copilot native in the agent picker and delivers a more stable agent experience directly in the IDE you already use every day. From ACP Registry to native experience Copilot was previously accessible via the…

Junie started as an experiment. We asked, “What if an AI coding agent didn't just guess at the details of your project, but actually used the same tools you do?” Over the last year, that experiment turned into a product used by developers every day – inside the IDE and the terminal.  Today, …

443 developers applied. 39 projects shipped. Here's a deepdive on the finalists and their projects presented at the JetBrains X Codex Hackathon in San Francisco.

443 developers applied. 39 projects shipped. Here's a sneak peak at everything that went down at the JetBrains X Codex Hackathon in San Francisco.

AI agents are already in your tools—now it’s time to understand them. Learn to build and work with them responsibly in this free course by JetBrains and Nebius.

Debugging computational notebooks can be quite frustrating for a variety of reasons, including issues like out-of-order cell execution, missing data files, and library conflicts. Traditional AI tools often struggle with these problems due to the interactive nature of notebooks, but at JetBrains, we …