JetBrains Air is one system for building software with agents. Works with Claude Agent, Codex, Junie, Copilot, OpenCode, and any agent connectable via ACP.
JetBrains AI functions as a aI Coding Tools workflow layer for users who need AI support inside a repeatable task, process, or content system. Its value is strongest when the buyer understands the job it should improve, the quality standard it must meet, and the surrounding tools it needs to connect with. For business use, JetBrains AI should be judged by workflow fit, output reliability, review effort, and whether it reduces manual work without creating new risk.
Jump to the pricing, features, pros and cons, comparisons, FAQs, and alternatives.
Overall Rating: 4.2/5 | Free Plan: Free, trial, open-source, or entry access may vary
Best For: teams, creators, operators, founders, and specialists evaluating aI Coding Tools for recurring business or productivity workflows
Pricing: pricing depends on current plan, usage, seats, model access, and workflow volume | Ease of Use: 4.1/5 | Business Value: 4.2/5
Last Tested: June 2026 | Version: Latest
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JetBrains Air is positioned as one system for building software with agents, unifying agent-driven development across JetBrains IDEs, web, CLI, and mobile. It works with agents users already use—Claude Agent, Codex, Junie, Copilot, OpenCode, and any connectable via ACP—and lets users choose where they work. For developers, Air supports running any agent and reviewing every change in IDEs, tracking parallel work, connecting compatible agents with a click, reviewing diffs in context, and flexible AI access via existing subscriptions, API keys, or JetBrains AI credits billed at public API rates. For teams, Air Teams offers shared projects in dedicated cloud environments, automations for repeatable tasks, environment controls, and centralized MCP server setup. For organizations, Air Governance provides rules and permissions, cost control, any-vendor key support (Amazon Bedrock, OpenAI, Anthropic, or others), and analytics. Junie is now part of JetBrains Air, and Air Context provides semantic indexing to reduce exploration overhead.
Professional reality: Cloud runs are already available for some customers in JetBrains IDEs and the browser, while rollout to all remaining customers will happen gradually over the coming months.
JetBrains Air supports Claude Agent, Codex, Junie, Copilot, OpenCode, and any agent you can connect via ACP. Air finds compatible agents on your machine and lets you connect them with a click, and you can add new ones from the agent registry.
Keep your existing agent workflow without switching tools
Air runs across JetBrains IDEs, the web at air.jetbrains.cloud, the CLI, and mobile. Agents run in the cloud, so work isn't tied to one machine or team member.
Move between IDE, browser, terminal, and phone without losing your work
Keep several projects open, each with its own sessions, and track unread updates, changed files, and outgoing commits in all of them. Open diffs directly from an agent session, validate changes with your IDE tools, and leave comments on specific lines for the agent to act on.
Review every change in context instead of losing track of parallel sessions
Delegate repeatable tasks to coding agents with automations triggered by events like merge to main, branch behind main, PR created, issue created, and commit pushed. Examples shown include an Agents.md updater, auto-rebaser, code-reviewer, documentation update, issue triage, and lint checker.
Hand off code review, release notes, and fixes to agents
Air Teams lets teams collaborate and run agent tasks in dedicated cloud environments, invite others, and manage access from one place. Each project gets a dedicated cloud environment where you can set the VM size, control internet access, and securely manage variables and secrets, plus connect MCP servers once so the team and their agents share the same external tools.
Bring your team and agents together in one controlled setup
Set rules and permissions for the whole organization or tailor them to specific teams or individuals, control AI spend with flexible limits, bring your own keys from Amazon Bedrock, OpenAI, Anthropic, or any other provider, and track which tools your teams use with analytics.
Direct AI spend where it adds the most value
The scraped JetBrains AI page does not present a standalone pricing table, plan tiers, or subscription rates for JetBrains AI. What it does show is that JetBrains Air supports flexible AI access: you can bring your existing provider subscription or API keys, or even a base URL, and you can use JetBrains AI with credits billed at public API rates. Credits appear as the usage unit — the Air Project example shows 300/1500 credits used, and individual agent actions are metered, such as 0.58 credits, 0.31 credits, 1.18, 6.24, 18.46, 1.90, 2.84, and 4.52 credits. No dollar amounts, plan names, or free-tier terms are stated on this page.
| Plan | Price | What You Get |
|---|
Visit the official JetBrains AI website to check the latest pricing and plans.
Air works with the agents you already use — Claude Agent, Codex, Junie, Copilot, OpenCode, and any agent you can connect via ACP. Air finds compatible agents on your machine and lets you connect them with a click, or you can add new ones from the agent registry. Install the plugin and run agents inside JetBrains IDEs, then open diffs directly from an agent session, validate changes with your IDE tools, and leave comments on specific lines for the agent to act on. If you already work in another agent-first editor, see how Cursor or Windsurf approach the same problem.
Keep several projects open, each with its own sessions, and track unread updates, changed files, and outgoing commits in all of them. Agents run in the cloud, so work isn't tied to one machine or team member — cloud runs are already available for some customers in JetBrains IDEs and the browser, with rollout to all remaining customers happening gradually over the coming months. Teams can also collaborate and run agent tasks in dedicated cloud environments, inviting others and managing access from one place.
Delegate busywork to coding agents by setting up automations for code review, release notes, fixes, and more. Automations are triggered by events like merge to main, branch behind main, PR created, issue created, or commit pushed — the site shows examples including an Agents.md updater, auto-rebaser, code-reviewer, documentation update, issue triage, and lint checker, each with run counts and AI credits spent. For teams that want to compare this with other automation-oriented coding tools, Aider and Cline are worth a look.
Air Governance lets organizations set rules and permissions, giving developers access to the models and agents they need while setting permissions for the whole organization or tailoring them to specific teams or individuals. Control the cost by directing AI spend where it adds the most value with flexible limits for teams and individual contributors, and bring your own keys from Amazon Bedrock, OpenAI, Anthropic, or any other provider — add your key once to give all your developers access. Analytics track which tools your teams use and where AI contributes the most. Flexible AI access also means bringing your existing provider subscription or API keys, or even base URL, and switching between subscriptions even mid-session.
Define the exact aI Coding Tools workflow JetBrains AI should support.
Compare it with closely related AI tools in the same category before committing.
Set review rules for accuracy, privacy, brand voice, compliance, and final approval.
Connect useful outputs to the wider stack instead of leaving them inside the AI tool.
JetBrains AI is worth it when aI Coding Tools is a repeated workflow and the tool meaningfully reduces manual work, improves quality, or speeds up execution. It is less compelling when the use case is occasional, unclear, or too sensitive to trust without heavy review. The strongest ROI comes from pairing the tool with clear process ownership and relevant business systems.
| Decision Area | JetBrains AI | When Another Option Wins |
|---|---|---|
| Agent support | JetBrains Air works with the agents you already use — Claude Agent, Codex, Junie, Copilot, OpenCode, and any agent you can connect via ACP. Air finds compatible agents on your machine and lets you connect them with a click, and you can add new ones from the agent registry. | If you want a single built-in agent tightly coupled to one editor rather than a hub that connects many agents, a dedicated assistant like <a href="https://theaitoolsbox.com/tool/github-copilot-review/">GitHub Copilot</a> or <a href="https://theaitoolsbox.com/tool/cursor-review/">Cursor</a> may be simpler. |
| Where you work | Choose where you work: JetBrains IDEs, Web, CLI, and Mobile. Agents run in the cloud, so work isn't tied to one machine or team member. | If your workflow is terminal-first and you don't need a cloud session layer or mobile access, a CLI-native agent like <a href="https://theaitoolsbox.com/tool/grok-cli-review/">Grok CLI</a> or <a href="https://theaitoolsbox.com/tool/opencode-review/">OpenCode</a> may fit better. |
| Reviewing changes | Open diffs directly from an agent session, validate changes with your IDE tools, and leave comments on specific lines for the agent to act on. Track unread updates, changed files, and outgoing commits across parallel projects. | If you prefer reviewing agent output as pull requests in your existing Git host rather than inside an agent session, a PR-centric agent like <a href="https://theaitoolsbox.com/tool/devin-review/">Devin</a> may be a better match. |
| AI access and billing | Bring your existing provider subscription or API keys, or even base URL. You can also use JetBrains AI with credits billed at public API rates, and switch between subscriptions — even mid-session. | If you'd rather have one flat subscription with no key management at all, a bundled assistant like <a href="https://theaitoolsbox.com/tool/tabnine-review/">Tabnine</a> may be less overhead. |
| Team and org controls | Air Teams gives shared projects in dedicated cloud environments, automations for code review and release notes, per-project VM size and internet access controls, centralized MCP servers, plus governance with rules, permissions, cost limits, and analytics. | If you only need individual developer assistance and no shared cloud environments or org-level governance, a lighter editor-integrated tool like <a href="https://theaitoolsbox.com/tool/continue-dev-review/">Continue</a> may be enough. |
Both put an AI agent next to your code, but they take different shapes. JetBrains Air is a system for building software with agents: it connects the agents you already use (Claude Agent, Codex, Junie, Copilot, OpenCode, and anything via ACP), runs them in cloud environments, and lets you work from JetBrains IDEs, the web, CLI, or mobile. GitHub Copilot is a single assistant embedded in your editor and Git host. Air also adds team features like shared projects, automations for code review and release notes, and org governance with permissions, cost limits, and analytics.
Choose JetBrains AI if: You want to run multiple agents side by side, review every change in context with line-level comments, keep parallel projects with their own sessions, and bring your own provider subscription or API keys — with team and org controls on top. Choose GitHub Copilot if: You want one well-known assistant already wired into your editor and repository host, without managing a hub of agents or cloud environments.
Cursor is an AI-first code editor; JetBrains Air is an agent orchestration layer that sits across JetBrains IDEs, the web, CLI, and mobile. Air's pitch is flexibility: use the agents you already have, connect them with a click, switch subscriptions even mid-session, and let agents run in the cloud so work isn't tied to one machine. Air also layers on Air Context semantic indexing so agents start with an understanding of your project instead of scanning the whole codebase, plus automations and governance for teams and organizations.
Choose JetBrains AI if: You're already in the JetBrains ecosystem, want to keep your existing agent subscriptions, and need shared cloud environments, automations, and org-level permissions and spend controls. Choose Cursor if: You want a single self-contained AI editor and don't need multi-agent orchestration, cloud sessions, or centralized team governance.
JetBrains Air is described as one system for building software with agents. It works with the agents you already use, including Claude Agent, Codex, Junie, Copilot, OpenCode, and any agent you can connect via ACP. You can choose where you work: JetBrains IDEs, Web, CLI, or Mobile.
Air works with the agents you already use: Claude Agent, Codex, Junie, Copilot, OpenCode, and any agent you can connect via ACP. Air finds compatible agents on your machine and lets you connect them with a click, and you can also add new ones from the agent registry.
Yes. Air offers flexible AI access: you can bring your existing provider subscription or API keys, or even a base URL. You can also use JetBrains AI with credits billed at public API rates, and switch between subscriptions — even mid-session. For organizations, you can bring your own keys from Amazon Bedrock, OpenAI, Anthropic, or any other provider.
For teams, Air lets you run shared projects in dedicated cloud environments, invite others and manage access from one place, and delegate repeatable tasks to coding agents via automations for code review, release notes, fixes, and more. You can also control project environments by setting VM size, controlling internet access, and securely managing variables and secrets, and connect MCP servers once so your team and their agents can securely use the same external tools.
Air Context's semantic indexing lets agents start with an understanding of your project instead of scanning the entire codebase, which speeds up execution and lowers the cost of working in production-scale repositories. For organizations, Air Governance lets you control the cost by directing AI spend where it adds the most value with flexible limits for teams and individual contributors, and optimize with analytics to track which tools your teams use and where AI contributes the most.
Bottom Line: JetBrains AI is a useful aI Coding Tools option when the workflow is real, repeated, and worth improving. It delivers the most value when buyers compare it against related AI tools, connect it to the wider stack, and keep human review in the loop.
Last Tested: June 2026 | Reviewed by theaitoolsbox.com editorial team
Air comes with free AI, including the Junie agent on Lite, though a JetBrains Account is required and fair use applies.
JetBrains Air works with Claude Agent, Codex, and any agent connectable via ACP, and can find compatible agents on your machine.
JetBrains Air lets users bring their own provider subscription or API keys, or use JetBrains AI with credits billed at public API rates.
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