This major feature evolves the Developer Agent from a simple task executor into a context-aware engineer by introducing a new, intelligent workflow and a persistent project memory system.
The new workflow, encapsulated in the `implement-story-with-review` task, consists of two primary phases:
1. **Analysis & Review Phase:**
- Before implementation, the agent proactively analyzes the codebase using semantic search to find reusable patterns and components.
- It assesses story and task complexity against configurable thresholds (`agentThresholdStory`, `agentThresholdTask` in `core-config.yml`).
- For complex tasks, it enters a "Review Mode" and uses an internal "Reviewer" persona to self-critique its own code for duplication, errors, and standards alignment before proceeding.
2. **Memory Synthesis Phase:**
- Upon successfully completing a story, the agent automatically performs a holistic scan of its own developer notes.
- It distills explicit "Lessons Learned" and implicit knowledge into general, actionable rules.
- These memories are validated against existing knowledge to prevent contradictions and are then intelligently upserted into a new, shared `bmad-project-memory.md` file.
**Supporting System Changes:**
- **Orchestrator:** The `bmad-orchestrator` now loads the `bmad-project-memory.md` file on startup, providing all agents with shared, evolving project context.
- **Installer:** The BMAD installation process has been updated to correctly scaffold the new `.bmad-core/data/bmad-project-memory.md` file into new projects, ensuring the feature is available out-of-the-box.
This creates a powerful, real-time learning loop, enabling the AI team to improve and adapt based on project-specific experience, leading to higher-quality and more consistent code.
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