JetBrains Expanded Air Agentic Development Environment

The company launched Air Teams to help businesses manage collaborative AI agent workflows.

Updated on Oct. 1, 2026 in Artificial Intelligence

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JetBrains has launched its new Air Teams platform, providing enterprises with centralized infrastructure to coordinate and manage collaborative AI agent workflows across development teams. AI Illustration. Upload story photo >

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JetBrains has expanded its Air development environment to support team-based workflows. The new Air Teams platform allows businesses to run AI agent tasks within shared cloud environments.

Why it matters

The move addresses the gap between rapid individual adoption of AI coding agents and the lack of organizational infrastructure to manage them. It provides businesses with centralized oversight for coordinating automated agent workflows.

Air Teams utilizes Docker containers on cloud virtual machines to execute tasks, currently restricted from using custom Docker images. The system incorporates Air Governance, allowing teams to configure machine resources and restrict agent internet access.

The players

JetBrains

JetBrains is a software development company that creates integrated development environments and productivity tools for programmers.

The details

The platform enables project owners to share automated configurations across teams, with execution triggered by repository events or pre-set schedules. Organizations can manage costs by opting to use either project-specific AI credits or personal user credits.

Timeline

  1. JetBrains announced the expanded Air system on September 22, 2026.

The Tech Race

This release marks a transition from localized, individual AI agent use toward centralized, team-managed infrastructure similar to the history of version control systems. It positions JetBrains against other enterprise-focused development platforms competing to standardize how AI agents interact with proprietary codebases.

Business teams can now implement unified governance for AI agents, reducing the risk of unauthorized internet access during automated coding tasks. Developers will benefit from shared automation configurations that streamline project workflows across distributed teams.

The takeaway

Organizations should establish clear resource configurations when deploying shared AI agent environments to prevent excessive credit consumption. Teams can improve productivity by standardizing reusable automations that sync directly with repository triggers.

What happens next

JetBrains has indicated plans to extend Air Teams access to individual customers and intends to introduce additional mobile and remote capabilities in future software updates.

Further reading

Learn more about the latest developments in Artificial Intelligence.

Source note: This article includes information reported by ADTmag.

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