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Market/Categories/Developer & AI Platform/Air

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Airair.dev

Automate team workflows with parallel agents and approvals.

Developer & AI Platformair.devTracked since 2026-08-191 discovery source
4.6KBacklinks
348Referring domains
24Domain authority
+61.7%Referring domains · 90 days

Authority & distribution

How strong is Air’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

4.6KCurrent snapshot

Referring domains

348Current snapshot

Authority

24Domain authority · category median 22

90-day move

+61.7%Referring domains, last 90 days
At 24, Air sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Air ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Air traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Air is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Air”

Automate team workflows with parallel agents and approvals.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://air.dev/

Observed across 1 discovery source.

Research questions

What the evidence answers about Air.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What problem does Air solve?

Air solves the problem of managing multiple AI coding agents concurrently. It provides an environment where these agents can run independent task loops simultaneously while maintaining user control, preventing them from interfering with each other.

What features does Air offer?

Air offers a multitasking environment with parallel agents, workflow automation, and approval controls. It supports integrations with multiple AI coding tools such as Codex, Claude Agent, Gemini CLI, and Junie.

What is Air used for?

Air is an agentic development environment used to automate team workflows by running multiple AI agents in parallel for independent task loops. It allows tools like Codex, Claude Agent, Gemini CLI, and Junie to execute tasks without interfering with each other.

Who is Air designed for?

Air is designed for developers and teams needing to manage multiple AI agents for coding and automation tasks. It is categorized as a Developer & AI Platform tool.

What is Air?

Air is an agentic development environment created by JetBrains. It is a developer tool that automates team workflows by allowing multiple AI agents to execute independent task loops in parallel.

5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Air intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which one of them does it, and the page they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured