JetBrains AIR transforms the IDE from a simple AI add‑on into a core AI‑driven development environment, detailing its architecture, three‑step onboarding, task definition workflow, permission models, multi‑task handling, review process, and extensibility via MCP servers.
JetBrains AIR is a new AI‑first IDE that integrates intelligent agents into the core workflow, offering macOS installation, project opening, task definition with context, permission controls, parallel execution, review tools, and MCP server integration for extensible AI‑assisted development.
JetBrains AIR transforms the IDE landscape by embedding AI as the default workflow, offering macOS installation, Git project handling, chat-based task definition, configurable permission modes, context addition, parallel task execution, review tools, and advanced MCP server integration, all while keeping developers in full control of code changes.
This article provides a detailed walkthrough of JetBrains AIR, an AI‑native IDE, covering its core concepts, quick‑start installation on macOS, project opening methods, task definition workflow, permission settings, context addition, task management, review process, MCP server integration, and overall benefits for AI‑assisted development.
JetBrains AIR is a new AI‑native IDE that embeds artificial intelligence as the default workflow, offering macOS installation, project opening, AI‑driven task definition, execution, review, parallel task handling, and advanced MCP server integration, all while keeping developers in control of code changes.
The article compares JetBrains Air and OpenAI Codex desktop apps, highlighting Air's open‑ecosystem design versus Codex's closed, efficiency‑focused approach, examines their technical architectures, market positioning, pricing implications, and ultimately advises developers to favor terminal‑based AI tools over heavyweight GUIs.
The article compares JetBrains Air and OpenAI Codex App, detailing their architectures, model support, isolation mechanisms, pricing, and market positioning, and ultimately advises developers to favor terminal‑based AI tools over heavyweight desktop applications.
