- Add incremental story-to-code mapping with post-compilation triggers (78-86% token reduction)
- Implement auto language detection for 9+ programming languages with 2-hour session caching
- Create lightweight task variants for routine operations (300-800 tokens vs 2,000-5,000)
- Add IDE environment detection for 8+ development environments
- Implement tiered remediation system matching solution complexity to problem complexity
- Update README and enhancements documentation to reflect twelve transformative features
- Integrate all optimizations into dev and qa agent workflows with role-optimized LLM settings
- Replace all bash scripting with tool-based instructions (Glob, Grep, Read tools)
- Convert Historical Analysis from bash loops to process-based git investigation
- Update Test Analysis to use Glob/Grep patterns instead of bash commands
- Transform Dependency Analysis to use tool-based component mapping
- Replace Final Context Report bash scripting with structured report generation
- Eliminates multiple approval prompts when dev agent executes *build-context command
- Maintains comprehensive analysis workflow while streamlining execution
- Added develop-story to commands list in dev agent
- Enables systematic workflow execution with automatic progress tracking
- Tasks now properly marked [x] as agent progresses through story implementation
James (Claude Code)
DevForgeAI