autonomous-agent

To orchestrate end-to-end Loa workflows, you can automate the entire process from PRD discovery to deployment and learning. This enforces strict quality gates, safety rules, and structured trajectory logging across every sprint cycle.

Loa process orchestration is the automated governance of software lifecycles from discovery to deployment. It handles codebase discovery by locating the PRD, then sequentially designing architecture, planning sprints, and implementing tasks with mandatory audits.

Yes, autonomous orchestration applies to both new and existing codebases. It automatically detects the operator mode, wraps skills for safety, and initiates a complete Loa cycle for your target sprint regardless of project maturity.

You can enforce post-PR validation and maintain structured memory through built-in trajectory logging and structured notes. The orchestrator automatically validates pull requests and records cycle learnings to support compliance and future improvements.

The best way to manage sprint planning and architecture design automatically is through a governed Loa workflow. It sequentially discovers requirements, designs the architecture, and plans sprints while enforcing strict safety and accountability guardrails.

Your workflow needs operator detection to properly wrap skills and enforce safety during process orchestration. Auto-detecting whether the operator is AI or human ensures appropriate logging, accountability, and guardrails are applied throughout the lifecycle.