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Coding & app building

JetBrains Air

By jetbrains.com

JetBrains Air is a strong fit for running acp and supported third-party coding agents from jetbrains ides, with a profile optimized for advanced users who value medium ease-of-use and high output quality.

Best for: Running ACP and supported third-party coding agents from JetBrains IDEs

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What it is

JetBrains' open agentic-development system for directing multiple coding agents, reviewing work in IDE context, coordinating cloud team environments and applying organization-level AI governance.

In Choosely terms, this sits in the coding & app building lane and is commonly selected for running acp and supported third-party coding agents from jetbrains ides and coordinating agent work in shared cloud project environments.

Pricing

Pricing varies

Check official pricing

Air supports JetBrains-managed credits, existing provider subscriptions/API keys and custom base URLs. Air Teams is early access and organization pricing is not published as one standalone Air price; provider and eligible JetBrains AI plan costs vary.

Basis: UnknownConfidence: UnknownLast checked: September 2026

Why people pick it vs where it falls short

Why people pick it

  • Supports Claude Agent, Codex, Junie, Copilot, OpenCode and ACP-connected agents
  • IDE review uses JetBrains code intelligence and inline diff comments
  • Air Governance spans permissions, provider keys, analytics and cost controls

Where it falls short

  • Air Teams is early access and governance maturity should be validated in a pilot
  • Cloud project environments and third-party providers create separate code/data paths
  • Not a replacement for manual IDE workflows or a standalone model provider

When it is a strong fit

A strong match when your main priority is running acp and supported third-party coding agents from jetbrains ides and you need an advanced-friendly starting point.

Useful when your team values medium ease of use and medium execution over heavier setup.

Best when high quality matters, but you still want a practical workflow rather than a complex implementation track.

How it compares in Choosely terms

  • Speed profile: Medium. This is best when you want momentum from prompt to usable output without heavy process overhead.
  • Ease profile: Medium for Advanced users. You can move quickly even if this is not your full-time specialty.
  • Control profile: High. Expect practical customization, but not an infinite-control architecture.
  • Pricing signal: Pricing varies. Good for teams balancing capability with cost sensitivity.
Tradeoff: Air Teams is early access and governance maturity should be validated in a pilot.

Best-fit use cases

Practical ways JetBrains Air fits the current Choosely catalog profile.

Coordinate Several Coding Agents From A JetBrains IDE

Strong lane

Use JetBrains Air for coordinate several coding agents from a jetbrains ide when you want medium execution, medium ease of use, and high output quality.

Review Agent Diffs With IDE Code Intelligence

Strong lane

Use JetBrains Air for review agent diffs with ide code intelligence when you want medium execution, medium ease of use, and high output quality.

Run Shared Agent Tasks In Controlled Cloud Environments

Strong lane

Use JetBrains Air for run shared agent tasks in controlled cloud environments when you want medium execution, medium ease of use, and high output quality.

Govern Agent Providers Permissions And Spend Across An Engineering Organization

Strong lane

Use JetBrains Air for govern agent providers permissions and spend across an engineering organization when you want medium execution, medium ease of use, and high output quality.

Alternatives

Superset

Local-first, agent-agnostic desktop environment for running CLI coding agents in isolated Git worktrees, reviewing diffs and monitoring local sessions remotely from mobile.

Choose Superset when your primary need is parallel local coding-agent work in isolated git worktrees.

View tool profile

Claude Code

Anthropic's coding agent for working across codebases, terminals, fixes, and longer-horizon development tasks.

Choose Claude Code when your primary need is agentic coding.

View tool profile

OpenAI Codex

Cloud-based software engineering agent platform from OpenAI for delegating coding tasks, reviewing changes, and operating across repository workflows.

Choose OpenAI Codex when your primary need is cloud-based engineering agents.

View tool profile

Next step

Pilot one repository and two agent providers, define review and internet-access rules, then verify code/data paths and audit coverage before expanding to a team.

Get a best-fit recommendation →Browse all tools

Related reads

Compare JetBrains Air vs SupersetCompare JetBrains Air vs Claude CodeExplore Kilo Code for adjacent workflowsBest AI app builder in 2026

FAQ

What is JetBrains Air best for?

JetBrains Air is best for running acp and supported third-party coding agents from jetbrains ides, coordinating agent work in shared cloud project environments, organization-wide agent policy, auditability and ai cost controls.

Is JetBrains Air beginner-friendly?

This catalog profile lists JetBrains Air at advanced skill level with medium ease of use.

What should I watch out for before choosing JetBrains Air?

Air Teams is early access and governance maturity should be validated in a pilot