Turn recurring engineering work into agent workflows

A big part of your team's week goes to recurring work: small tickets, dependency updates, failing checks, alerts, release chores. Coding agents made each engineer faster, but the work is still manual, one task at a time. And the more your agents produce, the more piles up for a human to review.

Shipfox turns this work into workflows that start on their own and come back ready for a human. One opens a pull request, small and with your checks already passing. One triages dependency updates and merges the safe ones under your rules. One investigates an alert and suggests a fix. You set the rules: which model runs each step, what each agent can touch, and where a person signs off. Only the work that needs judgment reaches your team.

And the factory improves itself. Run workflows that watch your other runs, find what is slow or failing, and suggest changes.

Run coding agents like CI pipelines

1. An event starts a workflow. A ticket, a new pull request, an alert, a failed check, or a schedule.
2. The workflow does the work. It mixes AI agents with the exact commands you choose, in an isolated environment with a full log and the cost of every run visible.
3. The result reaches your team. A pull request, a diagnosis, or a suggested improvement, ready to approve. Leave a comment and the workflow continues.

Workflows live as YAML in your repo, and you review them like any other code. Any model per step, any stack. Open source.

Coding agents make each engineer faster. Shipfox gives your whole team a software factory that builds, checks, and improves itself.