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How IronBee compares

IronBee is an AI QA engineer for AI-generated code. It verifies every change your agents make with no tests to write, can hold the agent until the change is verified, and tells you which line to change when it fails. Here is how that compares with the tools teams weigh it against.

Why IronBee

What IronBee brings

01

No tests to write

Point it at a running app. IronBee reads what the commit changed and works out what to exercise. There is no test file to write, name or own.

02

A gate inside the agent

IronBee hooks into Claude Code, Cursor and Codex. In enforce mode verification runs before the agent can finish a code change, and a pass needs evidence, not the agent’s word.

03

Full stack

It drives the page like a user and calls the API directly, with OpenTelemetry spans from the same request. Inside the coding agent it goes further: the Node.js and Python runtimes, a mobile emulator and CLI programs in a terminal.

04

Root cause, then the fix

A failure comes back as a file, a line and a reason. With the GitHub Action, the fix can be committed to the branch.

05

On the pull request and the preview

A check and a comment on GitHub, a deployment check on Vercel, a card on the Netlify deploy summary. On Vercel and Netlify there is no workflow file to add.

06

Evidence you can replay

Every run is kept in the Console with its recording, actions, network requests, traces and logs. A run on IronBee can be watched live, and replayed afterwards.

07

Your agent learns from its failures

A daily analysis of your agent sessions surfaces findings and recommendations, and the recommendations are injected into the agent’s context on its next session.

08

Free to start

3 seats, 100 jobs and 100 agent sessions a month on the Free plan, with no credit card. Team is $15 per seat a month.

Now generally available

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AI-generated code with confidence?

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