This commit introduces a configurable date check option to optimize the workflow for different AI environments.
New configuration:
- checkCurrentDate: false (default) - Skip date retrieval when current date is available in system context
- checkCurrentDate: true - Explicitly retrieve current date via tool call
Key improvements:
- Eliminates redundant date tool calls in environments where current date is injected into system prompt
- Maintains backward compatibility with default false setting
- Provides flexibility for environments that need explicit date retrieval
- Updated dev agent startup to load the new configuration setting
This optimization reduces unnecessary tool calls while maintaining the temporal context functionality for environments that require it, improving overall workflow efficiency.
This commit updates the complexity assessment system from a 1-10 scale to the industry-standard Fibonacci scale (1, 2, 3, 5, 8, 13), aligning BMAD with Agile best practices.
Key changes:
- Updated agentThresholdStory from 6 to 5 (Fibonacci equivalent)
- Updated agentThresholdTask from 7 to 8 (Fibonacci equivalent)
- Added Fibonacci complexity guidelines to help agents make consistent assessments
- Modified task instructions to reference Fibonacci scale instead of 1-10
This change ensures consistency with industry standards that most development teams already understand, while maintaining the same relative complexity thresholds for triggering review processes.
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.
- Add markdownExploder setting to core-config.yml
- Update shard-doc task to use md-tree command when enabled
- Implement proper fallback handling when tool is unavailable
- Update core-config structure to remove nested wrapper
- Fix field naming to use camelCase throughout
kevlingo
Brian Madison