skaftorAI drives coding agents like Cursor and Claude Code over MCP, hands them a full execution manifest, and returns automated pull requests — with a human in the loop at every gate.
When a Work Order runs, skaftorAI passes the agent an execution manifest: the repository, the branch, the relevant files, the acceptance criteria, and the memory of how similar work shipped. The agent opens the right workspace and starts inside it — the difference between a useful contribution and a plausible guess.
The run produces a branch and an automated pull request, drafted with a summary of what changed and why. It lands in your normal review flow — the agent does the typing, your team keeps the judgment.
Every run is recorded — which agent, which model, on which branch, for how long, at what cost. That trail feeds cost visibility and organizational memory, so agent work is as auditable as any other change.
Turn intent into architecture, work, and shipped code — in one governed pipeline your team approves at every step.