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Use case · Software teams

More work done, with every change reviewed before it goes in

The Project Manager organizes the backlog, the Developer proposes focused changes as draft pull requests and QA reviews them with your CI. You decide what gets merged and when it gets deployed.

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The challenge

  • The backlog grows faster than the team can handle.
  • Small changes take up the time of your most experienced people.
  • Nobody wants automatic changes without control or traceability.

A day with your AI team

  1. 09:00

    The Project Manager triages the backlog and assigns work.

  2. 10:30

    The Developer opens a draft pull request and a person approves it.

  3. 11:15

    QA waits for CI, reviews the pull request and approves the commit.

  4. 11:20

    The merge follows the supervision mode; a person does the deployment.

The recommended team

What you get

  • Small changes solved without interrupting the team.
  • Every change with human approval, CI and QA.
  • Full history of who proposed, reviewed and approved.

What it connects to

GitHub GitLab Notification webhooks
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