A series documenting the design and development of DevRag — a deterministic orchestration runtime for AI-assisted software engineering.
Each article explores a specific milestone: from task lifecycle models and state machines to typed orchestration contracts, Git-integrated workflows, recovery semantics, and runtime-controlled execution.
The goal is not to make agents “smarter”, but to establish the architectural boundaries that ensure their actions remain safe, auditable, and recoverable — turning experimental automation into a disciplined engineering system.
Topics covered
- Deterministic task lifecycle
- State machine orchestration
- Runtime-controlled agents
- Internal CLI contracts
- Git backend integration
- Recovery and escalation
- Backend-agnostic task repositories