lazy-batch-cloud

What problem does it solve?

Cloud-based orchestration for AI pipelines that loops on the cloud state script, coordinating per-cycle planning and execution while deferring MCP-dependent steps to workstation when necessary.

Core Features & Use Cases

• Cloud-mode batch orchestration: loops through lazy-state.py --cloud, spawning per-cycle work and halting on the same terminal conditions, but in a cloud environment without Tauri or MCP runtime.
• Deferral and gating: defers MCP tests and related steps to the workstation flow, while maintaining sentinel-driven progress and recovery semantics.
• Cloud-recovery and resilience: supports resume after container reclaim, reconciliation against git state, and max_cycles enforcement.

Quick Start

Launch the cloud variant with /lazy-batch-cloud and let it drive per-cycle state transitions until a terminal cloud condition or max cycles is reached.