Skip to content
Engineering

Autonomous Engineering

PawOS's flagship capability: real tickets, resolved end to end.

Overview

Given a ticket from a connected tracker, Paw investigates the issue using real evidence — browser console output, network requests, repository history — plans a fix, implements it, tests it, opens a real pull request, and reports back. It's billed only when that full cycle genuinely completes.

How it works

  1. 1

    Investigate

    Paw gathers real evidence about the reported issue before proposing anything.

  2. 2

    Plan

    A concrete implementation plan is drafted and tracked as a live TODO list.

  3. 3

    Implement & test

    Paw writes the fix and runs real tests against it.

  4. 4

    Deliver

    A pull request is opened and the ticket is updated — that's when the task counts as complete.

Use cases

  • • Working through a backlog of well-defined bugs without a human picking up every ticket
  • • Consistent, evidenced investigation quality across a large ticket volume

Limitations

  • • Best suited to well-scoped, well-defined tickets — ambiguous or highly exploratory work still benefits from a human in the loop
  • • Requires a connected repository and ticket tracker to run end to end