An AI Engineering Workforce.
Connect your repositories and get a workforce that understands the code, proposes changes as PRs, and learns from every deploy.
The workflow
The work this team does every day — with a workforce on it.
- The backlog outpaces the team
- Tech debt slows delivery
- Reviews are a bottleneck
- Onboarding to the codebase is slow
- Knowledge in a few heads
The workforce
Connects to
GitHubGitLabCISlack
How it works
Four steps to a working workforce.
1
Connect your repositories
Piloop maps the code and its context.
2
Workers pick up scoped tasks
Bug fixes, refactors, and features.
3
Changes arrive as PRs
Your team reviews and merges.
4
It learns from each deploy
Safer, larger changes over time.
Starter blueprint
Starter Blueprint: Engineering
An illustrative starting point — not a customer claim. This is the shape of what you would set up.
Where you areA stretched team and a growing backlog.
What Piloop draftsPiloop drafts an Engineering Workforce mapped to your repos.
First workflowsFirst workflows: docs, tests, small refactors, PRs.
What improves over timeUnderstanding deepens; changes get bolder.
Proof to look forLook for shorter review cycles and fewer regressions.