The Operon LibraryChapters 10 Published 10
Volume V · Software engineering is becoming workflow engineering.
AI Workflow Engineering
The AI session becomes the unit of work: plan, prompt, generate, review, refine, commit, deploy, learn. Written directly from Operon's own trace and replay telemetry, the volume covers flight plans, workflow boundaries, checkpoint thinking, replay, friction patterns, and recovery, closing with a practical guide to designing AI workflows.
Key sources: Operon trace + replay telemetry
Related
- AI coding agent orchestrationDecompose a goal into a plan, route the work, and coordinate the agents.
- Run multiple AI coding agents in parallelIsolated Git worktrees and one Mission Control grid for every session.
- The AI-assisted software engineering glossaryEvery term this volume uses, with coinages marked and origins cited.
- The Library’s research sourcesThe dated evidence base behind every claim in the handbook.