JetBrains Expanded AI Agent Platform for Teams
The new Air Teams environment allows organizations to manage and scale AI agent workflows via cloud-based infrastructure.
Updated on Oct. 1, 2026 in Artificial Intelligence
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JetBrains has expanded its Air agentic development environment to include a shared workspace dubbed Air Teams, currently available to business customers. This system provides organizational infrastructure for managing and executing AI agent workflows in cloud environments.
Why it matters
As AI-driven coding agents see rapid adoption, organizations require centralized tools to coordinate and secure these automated workflows. JetBrains developed this platform to bridge the gap between individual agent use and enterprise-grade management.
The system utilizes cloud virtual machines running Docker containers to execute agent tasks triggered by repository events or schedules. Users can configure resource limits and apply Air Governance controls, though custom Docker images remain unsupported.
The players
JetBrains
A developer of integrated development environments and software tools focused on automating professional coding workflows.
The details
Air Teams centralizes agentic workflows by allowing team members to configure and reuse automations across shared projects. The platform supports various agents, including Claude Agent, Codex, and Junie, through the Agent Client Protocol (a standardized interface for interoperable AI agents). Tasks run in isolated containers, allowing administrators to restrict internet access and manage machine resources for individual agents.
Timeline
September 22, 2026: JetBrains announced the expanded Air system for business customers.
The Tech Race
This release positions JetBrains to compete in the growing market for enterprise AI development orchestration. It marks a shift from providing standalone developer tools to establishing a centralized, governed infrastructure for managing autonomous coding agents within engineering teams.
Business customers can now manage agent automations directly through project configurations, allowing teams to share and execute tasks in cloud environments. The update requires project owners to designate whether specific automations consume personal or shared project AI credits.
The takeaway
The platform requires administrators to be diligent about testing agent configurations, as settings only apply to new tasks rather than existing workflows. Future updates will reveal whether these management controls effectively balance autonomy with enterprise security requirements.
What happens next
JetBrains intends to open Air Teams to individual customers and introduce additional remote and mobile device capabilities in future releases.
Further reading
For broader trends in enterprise-grade machine learning and development, see the latest updates on Artificial Intelligence.
Source note: This article includes information reported by ADTmag.
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