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AI engineering team, under your review

Describe the work. A team of AI agents plans it, builds it and opens the pull request.

The engineering platform runs Claude-based agents against your own git repositories. They route the task, change the code on a branch, test and review it, and hand you a pull request — every step visible, nothing merged until you approve it.

1

Describe the work

Open a work item on one of your repositories — a fix, a feature, an infrastructure change, or a review.

2

The agents build it

The Lead routes it; a developer or engineer agent makes the change on its own branch.

3

Reviewed and tested

An analyst reviews the change, QA runs the repository's tests, and failures go back automatically.

4

You approve

Read the conversation and the diff, comment, send it back — or approve, which merges the pull request.

Built for real repositories

Everything the agents do happens in the open, on the systems you already use.

A team, not a single bot

Specialised agents route, build, review, test and check security — each with its own instructions and model.

Nothing merges without you

The agents open a pull request. Approving it is a person's decision, made in the dashboard.

Your git hosts

GitHub, GitLab, Azure DevOps, Bitbucket Cloud and Forgejo / Gitea — connected with your own credentials.

Every step visible

The conversation, the change file by file, test results, screenshots and run logs — kept with each work item.

Your key, your spend

Agents run on your own Anthropic API key, and the dashboard shows what your work has cost.

Access you control

New accounts are approved by an admin. Each person sees only the repositories they're given.

Ready to get started?

Sign in with Google, Microsoft or GitHub. New accounts are approved by an admin before they can see any work.

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