Staged DevOps Workflow for Claude Code
The brainstorming session that produced ClaudeOps - six foundational questions about stages, gates, decision-making modes, human oversight integration, artifact flow, and dashboard requirements that shaped a constitutional governance model for AI-assisted development
The strategic brainstorming that shaped the ClaudeOps staged workflow - covering six foundational questions (stages and gates, Claude Code decision-making at each stage, human oversight integration points, artifact and knowledge flow between stages, dashboard use cases, and metrics/success criteria), the design principles drawn from historical context (constitutional governance, visual-first, specialization over generalism, templates compound), and the exploration of how traditional DevOps pipeline thinking transforms when the developer is an AI agent.
Also connected to
The living strategy document behind ClaudeOps - a 5-stage constitutional governance model where Claude Code thinks differently at each development stage, with explicit quality gates, error-type differentiated remediation, and the pilot project data that validated the entire approach in 55 minutes instead of 7.5 hours
Concrete implementation planning
The implementation plan for a ClaudeOps dashboard that gives visual oversight of every project's stage progression - portfolio view, gate status queue, blocker aggregation, and velocity metrics, built on the existing Vite/React/FastAPI stack rather than starting from scratch
Living document on process infrastructure for AI development
The agent that gives every other GSD agent the context it needs to write correct code