JetBrains AI for Teams and Organizations will provide a unified, vendor-agnostic system for agentic software development, providing shared context, reusable workflows, governance, and cost control.
JetBrains has announced JetBrains AI for Teams and Organizations, an initiative that promises to deliver a broad set of AI capabilities that connects AI tools developers already use with shared context, reusable agentic workflows, and organization-wide governance and cost control for software production. The intent is to move users from fragmented AI usage to coordinated software development, the company said.
Unveiled July 7, JetBrains AI for Teams and Organizations will provide a unified system for agentic software development, according to the company. Vendor-agnostic by design, JetBrains AI for Teams and Organizations will connect external tools via Model Context Protocol (MCP) and external agents via Agent Client Protocol (ACP). Organizations will be able to evolve their AI stack without sacrificing governance or developer choice, the company said.
Alongside new capabilities, JetBrains plans to evolve its commercial model to better support AI-powered software development. For business customers, AI licenses will be transferred to flexible on-demand AI credits. These credits will make it easier for organizations to reallocate AI investments between developers and manage them over time, as credits are valid longer, JetBrains said.
Over the coming weeks, JetBrains plans to gradually introduce the following new capabilities for teams and organizations:
- Team automations and cloud agents: Developers will be able to run agents in managed cloud environments, allowing long-running engineering tasks to execute independently while remaining visible and shared between team members. Teams will be able to create automations that trigger cloud agents in response to repository events, schedules, or other engineering workflows.
- JetBrains Context: Developers will be able to provide agents with the repository intelligence to understand complex codebases more efficiently. Fast access to cross-repository knowledge, code examples, and references promise to reduce agent turns, lower execution costs, and improve code quality.
- JetBrains Central: Providing organization-wide management tools for AI adoption, JetBrains Central will give engineering leaders centralized visibility into the AI tools their teams use, as well as governance, access management, model and agent controls, policies, analytics, and cost attribution across teams.
- JetBrains Central CLI: JetBrains Central CLI will bring disparate AI workflows—including the use of different AI tools such as Claude Code, Codex, and Gemini CLI—into the same organizational environment, providing governance, visibility, and analytics, while allowing developers to continue working with the tools they already prefer.
