context-persistencelisted

# Context Persistence ## Overview Context Persistence enables AI to maintain state across multiple sessions, building increasingly rich understanding as work progresses through AI-DLC phases. This is essential for coherent, context-aware assistance. **Core principle:** Context compounds - each phase enriches the next. ## When to Use **Always:** - Starting a new session (load previous context) - Ending a session (save current state) - Transitioning between phases (handoff context) - Resuming work after interruption **Never skip:** - Starting "fresh" without checking context - Losing decision rationale - Forgetting constraints discovered earlier ## The Context Flow ``` Inception Context → Construction Context → Operations Context ↓ ↓ ↓ Requirements Architecture Infrastructure User Stories Domain Models Deployments Constraints Technical Decisions Monitoring ↓ ↓ ↓ RICHER CONTEXT → RICHER CONTEXT → RICHER CONTEXT ``` ## Context Structure ### Context Hierarchy ``` project-root/ ├── .ai-dlc/ │ ├── context.json # Master context index │ ├── inception/ │ │ ├── requirements.md │ │ ├── decisions.md │ │ └── constraints.md │ ├── construction/ │ │ ├── architecture.md │ │ ├── domain-models.md │ │ └── tech-decisions.md │ ├── operations/ │ │ ├── infrastructure.md │ │ ├── deployments.md │ │