Development

JetBrains Air

An Agentic Development Environment for orchestrating specialized AI agents without interference.

About JetBrains Air

JetBrains Air is an Agentic Development Environment designed for multitasking with AI agents. It centralizes specialized agents like Codex for routine procedure automation, Claude Agent for event-flow management, Gemini CLI for command-line operations, and Junie for task scheduling and orchestration. The core value proposition is maintaining user control while benefiting from the efficiency of task-specific AI agents that operate independently without interference, ensuring seamless functionality when handling multiple AI tasks simultaneously. When integrated with the AiDOOS Virtual Delivery Center platform, deployment becomes standardized and governed across projects. AiDOOS provides the execution layer to scale these agent workflows, integrates them with enterprise systems and pre-vetted development talent, optimizes performance through outcome-based tracking, and ensures governance over tool usage—transforming isolated AI automation into a managed, scalable delivery asset that boosts developer productivity and project velocity.

Challenges It Solves

Managing multiple, disjointed AI tools creates workflow fragmentation and overhead
Lack of centralized control when running simultaneous AI-assisted development tasks

Proven Results

40%

Reduced context-switching time for developers

35%

Increased task completion throughput

Key Features

Core capabilities at a glance

Multi-Agent Orchestration

Run specialized AI agents in harmony

Eliminates agent interference and workflow collisions

Procedure Automation

Automate routine development tasks with Codex

Cuts manual coding steps by estimated 30%

Event-Flow Management

Manage development event processes via Claude Agent

Streamlines CI/CD and deployment pipelines

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Real-World Use Cases

See how organizations drive results

Automated Code Refactoring

Use Codex agent to automatically refactor legacy codebases while maintaining business logic.

Faster technical debt reduction cycles

CLI Task Automation

Leverage Gemini CLI agent to automate repetitive command-line operations and scripting tasks.

Reduces manual CLI intervention time

Integrations

Seamlessly connect with your tech ecosystem

JetBrains IDE Suite

Explore

Native integration potential with IntelliJ, PyCharm for seamless developer experience

CI/CD Platforms

Explore

Orchestrates deployment and testing events through Claude Agent workflows

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

Discover

Requirements & assessment

Integrate

Setup & data migration

Validate

Testing & security audit

Rollout

Deployment & training

Optimize

Performance tuning

See how it works for your team

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Alternatives & Comparisons

Find the right fit for your needs

Capability	JetBrains Air	ChatScript	Snapsheet	AllClients
Customization	Fair	Excellent	Good	Good
Ease of Use	Good	Good	Excellent	Excellent
Enterprise Features	Fair	Excellent	Excellent	Fair
Pricing	Excellent	Excellent	Good	Good
Integration Ecosystem	Fair	Good	Excellent	Good
Mobile Experience	Poor	Good	Excellent	Good
AI & Analytics	Good	Good	Excellent	Fair
Quick Setup	Good	Good	Good	Excellent

Frequently Asked Questions

How does JetBrains Air handle multiple AI agents simultaneously?

It operates as a central hub where specialized agents like Codex and Claude Agent run independently without task interference, ensuring efficient multitasking. When managed via AiDOOS, these workflows gain governance, scalability, and integration with broader delivery pipelines.

Is JetBrains Air suitable for enterprise development teams?

Yes, it's designed for technical users handling numerous AI operations. For enterprise deployment, AiDOOS provides the execution layer to govern usage, integrate with existing systems, and scale agent-driven delivery across projects with performance tracking.