Complete the end-to-end framework: lifecycle, scenarios, techniques, practices, KPIs, governance, setup
- The End-to-End Lifecycle: the canonical 10-phase operating loop with owners, artifacts, exit gates, and entropy scaling
- Scenario Playbooks: 8 worked scenarios (greenfield, feature add, cross-cutting, bug fix, migration, integration, incident, legacy onboarding)
- Operator Techniques: 15 tactical moves across context, generation, verification, prompting, orchestration
- Best Practices: do/don't tables by area + five non-negotiables
- KPIs & Metrics: flow/quality/health metric system, starter scorecard, vanity metrics to ignore, anti-gaming guidance
- Risks, Security & Governance: AI-specific risks, security defaults, privacy/compliance, team-of-one governance, pre-ship checklist
- Agent Setup & Configuration: repo scaffold, .cursorrules template, persona prompts, Guardian sandbox, self-healing wiring
- Add 'Practice & Execution' sidebar section; update Home map