Archon V3 turns AI coding into YAML workflows

Hot take: this is the right direction for serious AI coding teams. The value is not a smarter prompt; it is a controlled execution layer around the agent. YAML makes workflows versionable, reviewable, and easier to standardize across repos. Parallel execution and isolated worktrees reduce context bleed and make multi-step agent runs safer. Built-in validation and review loops matter more than flashy generation demos because they close the quality gap. The product is strongest for teams that want repeatability over improvisation, especially in larger codebases.