What problem does it solve?
Coordinating reliable, repeatable AI-driven implementation across multiple GitHub repositories is hard to manage consistently, leaving you with unclear progress, unvalidated changes, and poor operational control.
Core Features & Use Cases
- Fleet orchestration: initializes an empty workspace, accepts multiple GitHub repository URLs, and orchestrates repo-level
/autospec-run workers.
- Config and scheduling controls: validates fleet configuration, applies per-repo profile selection, and respects node-local capacity for parallelism.
- Operational visibility and control: summarizes queue state across repos and forwards stop semantics to active repo workers.
Quick Start
Ask your agent to run fleet initialization and then launch workers with: /autospec-fleet init https://github.com/org/repo-a.git https://github.com/org/repo-b.git && /autospec-fleet run --profile qwen3-32b-laptop.