Air

Air addresses a real pain point: when you have multiple AI coding agents available, running them in parallel on the same codebase is messy. Air gives you a clean way to orchestrate Claude Agent, Codex, Gemini CLI, and Junie simultaneously, each in its own isolated environment. The isolation is the key differentiator—using Docker containers or Git worktrees means you can have several agents working on the same repository without stepping on each other's toes. For developers who already have JetBrains AI Pro or Ultimate, the value is immediate: you get all four agents at no extra cost, which is a rare bargain in the AI coding space. If you're BYOK, you pay your providers directly, which keeps costs transparent but also variable. The code-aware task definition—being able to specify files, symbols, classes, and images as targets—is a practical touch that saves time. Workspaces let you manage multiple concurrent tasks, and the context-aware review with language navigation helps you make sense of agent output. However, Air is not for everyone. It's Linux-only, which cuts off a large chunk of developers. There are no pre-built integrations, so you'll be building connectors yourself. And while cloud execution, a web dashboard, and team features are on the roadmap, they aren't here yet. For a solo developer or a small team on Linux who wants to experiment with multiple agents, Air is a solid tool. But if you need cross-platform support, strict audit trails, or a fully autonomous system, you'll want to look elsewhere. The roadmap is promising, but early adopters should be comfortable with a tool that's still maturing.