JetBrains Air
JetBrains Air is the Agentic Development Environment where Codex, Claude Agent, Gemini CLI, and Junie execute independent task loops without interfering with each other.

Qu’est-ce que JetBrains Air ?
JetBrains Air is an AI-powered software development platform built around the concept of "vibe coding"—where developers focus on describing their ideas, goals, and product vision while AI agents handle much of the implementation work. Instead of manually writing every piece of code, developers can collaborate with AI as an intelligent engineering partner.
Created by JetBrains, the company behind professional developer tools such as IntelliJ IDEA and PyCharm, Air combines advanced AI agents with deep software engineering knowledge. It helps developers plan features, generate code, understand complex projects, debug issues, and continuously improve applications through natural language interaction.
JetBrains Air is designed for developers who want to accelerate software creation while keeping full control over architecture, code quality, and final decisions.
Features:
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AI Software Engineering Agents: Delegate complex development tasks to AI agents that can plan, implement, test, and improve software features.
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Natural Language Development: Describe what you want to build in plain language and let AI translate ideas into working code.
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Project Context Understanding: Analyze existing codebases, understand project structures, and provide solutions based on the full development context.
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Autonomous Coding Workflows: Handle multi-step engineering tasks including feature implementation, debugging, refactoring, and optimization.
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Developer Control & Review: Maintain human oversight by reviewing, modifying, and approving AI-generated changes.
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JetBrains Development Ecosystem: Leverage JetBrains' professional software development experience and tooling environment.
Use Cases:
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Rapid Application Development: Build software faster by reducing repetitive coding and engineering tasks.
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Startup MVP Creation: Turn product ideas into functional prototypes without requiring large engineering teams.
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Feature Implementation: Accelerate the development of new features with AI-assisted coding workflows.
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Code Maintenance: Improve existing applications through AI-powered debugging, refactoring, and optimization.
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