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Software projects

An AI team that proposes changes while you decide what goes in

The Project Manager organizes the work, the Developer opens draft pull requests and QA reviews them. People approve and the merge is controlled. There is no automatic deployment.

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Project Manager

Splits the goal into work items and assigns them. Its projects start paused.

Developer

Reads the repository and prepares focused changes as a draft pull request on GitHub.

QA

Waits for CI, reviews the pull request and approves or requests changes.

Controlled merge

Squash of the approved commit, with green CI and according to the supervision mode you chose.

How it works

  1. 1

    A person creates or activates the project on a repository and a branch.

  2. 2

    The Project Manager assigns work items to the Developer.

  3. 3

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

  4. 4

    QA reviews once CI has finished and, if appropriate, it is merged.

  5. 5

    The production release is approved and carried out by a person.

Available today

  • Draft pull requests on GitHub with human approval.
  • QA by AI, by a human, or AI then human, with decisions by email.
  • Controlled squash merge and GitHub review requests for protected branches.
  • Supervision modes: review each delivery, merge after approval, or autonomous for low-risk changes.

In development

  • Running tests on the platform: today your CI checks are observed.
  • Automatic deployment: a person carries out the production release.
  • Pull requests and merge on GitLab.

Other features

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