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JetBrains Air

JetBrains Air is a system for building software with agents across IDEs, the web, and the command line.

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Coding agent
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Filed by the Vibe Code Weekly desk · Updated

The story

JetBrains Air is an agentic development environment for teams from the company behind IntelliJ IDEA and PyCharm. JetBrains describes it as one system for building software with agents: running them, reviewing what they produce, and governing their use across an organization.

JetBrains is known for language-specific IDEs such as IntelliJ IDEA for Java and Kotlin, PyCharm for Python, WebStorm for JavaScript, Rider for .NET and game development, and CLion for C and C++. Air is listed beside them as a different kind of product. It is an agentic development environment for teams, built around coding agents. JetBrains describes it as one system for building software with agents.

The product is pitched at three levels. Developers can run agents and verify their work at scale. Teams get a shared place to work with agents. Organizations can adopt and govern AI at scale. The listed features include connecting coding agents, reviewing agent changes, tracking parallel work, automating coding tasks, managing cloud environments, connecting MCP servers, controlling team access, and tracking AI usage.

Air sits apart from the rest of the JetBrains lineup. Its listed features center on connecting coding agents, reviewing their changes, tracking parallel work, and controlling team access. JetBrains frames it as a place where developers, teams, and organizations work with agents and govern AI use at scale.

JetBrains describes Air as one system for building software with agents: running them, reviewing what they produce, and governing their use across an organization. That scope puts agent oversight, not only code editing, at the center of the product.

The good

Built around agents, with review of agent changes as a core feature. Supports parallel work, with tracking across agent tasks. Team and organization controls, including access management and AI usage tracking. Connects to MCP servers and manages cloud environments. Comes from JetBrains, the vendor behind IDEs such as IntelliJ IDEA, PyCharm, and WebStorm and team tools such as TeamCity and YouTrack.

The catch

Positioned for teams and organizations, so much of its value depends on shared use. JetBrains' product listing does not state pricing or plan details for Air. Its feature list does not name which specific coding agents can be connected.

Who should read on

Teams that want a shared workspace for running and reviewing coding agents. Developers who run several agent tasks in parallel and need to track them. Organizations that need governance, access control, and AI usage tracking. Groups that already use MCP servers and want to connect them to agent workflows. Teams that want agents running in managed cloud environments.

Who can skip it

Developers who only want a traditional language-specific IDE such as IntelliJ IDEA or PyCharm. Solo users with no need for team access controls or usage oversight.

Reader mail

What is JetBrains Air?

It is JetBrains' agentic development environment for teams, described as one system for building software with agents. It covers running agents, reviewing their changes, and governing AI use.

Is Air the same as JetBrains' IDEs?

No. Air is listed as a separate product next to IDEs such as IntelliJ IDEA, PyCharm, WebStorm, Rider, and CLion. It is centered on working with coding agents.

Does Air support MCP servers?

Yes. Connecting MCP servers is one of its listed features.

What does Air offer organizations?

JetBrains positions Air as a way for organizations to adopt and govern AI at scale. Features include controlling team access, tracking AI usage, and managing cloud environments.

Can developers run multiple agents at once?

Air is described as letting developers run agents and verify their work at scale. It includes features for tracking parallel work and reviewing agent changes.

Further reading

What it does

  • Agent integrations
  • Parallel projects
  • Change review
  • Cloud runs
  • Team collaboration
  • Task automations
  • Cloud environments
  • MCP server sharing
  • Access controls
  • Spend limits
  • AI analytics
  • Semantic indexing

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