auto-solve-issue

You can automate full issue resolution by running a script-based coordinator that manages a five-phase lifecycle with checkpoints. This handles planning, execution, and quality checks automatically.

Yes, the automated workflow supports resume state persistence and checkpoint-driven control. This enables safe recovery from failures, allowing you to resume interrupted tasks without losing progress.

Yes, the workflow orchestration supports optional interactive checkpoints for manual validation. By default, it uses direct skill execution for performance, but you can enable manual review steps.

The best way to orchestrate dependency-managed task chains is using a Python coordinator script. It separates concerns with modular docs and testable code to manage the multi-phase execution safely.

You should use script-based orchestration for well-defined issues requiring structured planning, execution, and quality checks. It is ideal when you need dependency-managed task chains and safe resumption after interruptions.

To start automated end-to-end issue resolution, run the coordinator command with your issue number. This initiates a fully automated five-phase workflow managed by the script-based coordinator.