Repository reasoning
Inspect source code, configuration, workspace context, and project structure before deciding how to proceed.
Features
AI Runner combines repository reasoning, controlled execution, approvals, and verification in one autonomous engineering workflow.
Autonomous workflow
AI Runner works through engineering objectives while keeping execution observable and important changes under explicit control.
Inspect source code, configuration, workspace context, and project structure before deciding how to proceed.
Execute terminal operations and controlled changes through deterministic runtime boundaries.
Continue from execution into verification so outcomes can be checked against the engineering objective.
Stay in control
Review controlled mutations individually, approve sequentially, reject a proposed action, or stop execution.
Reduce repeated manual approvals when appropriate while keeping execution inside AI Runner's runtime controls.
Work with supported models from OpenAI, Anthropic, and Google through a unified AI Runner workflow.
AI Runner