Developers know the frustration: juggling multiple terminals, copying file paths, and wrestling with raw diffs just to get AI agents working together. JetBrains Air transforms this chaotic workflow into a streamlined orchestration experience. This demonstration showcases Air's revolutionary Agentic Development Environment, where multiple AI coding agents like Claude, Codex, and Gemini work simultaneously rather than sequentially. Watch as the platform eliminates the tedious setup process that typically plagues AI-assisted development workflows. The video reveals how Air's isolated execution system uses Docker containers and Git worktrees to keep each agent task completely separate, preventing the branch collisions and environment conflicts that slow down development. You'll see firsthand how this isolation maintains a perfectly clean local state while agents work in parallel. Viewers will discover Air's code-aware task definition capabilities, which allow developers to assign specific project contexts—symbols, classes, methods, or commits—to different agents. The demonstration highlights the integrated review system that provides full code intelligence and language-aware navigation, giving developers total control over agent output. Rather than accepting one-shot guessing from traditional chat interfaces, Air enables a complete workflow loop where developers can define tasks, monitor agent execution, and course-correct mid-process. The platform supports switching between different agents or comparing their outputs side-by-side for optimal results. Available for macOS with Windows and Linux versions coming soon, JetBrains Air represents the future of AI-assisted development. Learn more at air.dev to experience this game-changing approach to agent orchestration. This explainer was created with Ngram's AI-powered video creation platform.