224 lines
7.1 KiB
Markdown
224 lines
7.1 KiB
Markdown
# Changelog
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All notable changes to the Cross-Iteration Pattern Synthesis System.
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## [1.0.0] - 2025-10-10
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### Added
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- Initial release of Cross-Iteration Pattern Synthesis System
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- `/project:infinite-synthesis` command for pattern-guided generation
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- `/project:extract-patterns` command for automatic pattern extraction
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- `/project:analyze-patterns` command for effectiveness analysis
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- Pattern library JSON schema and template
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- Validation script for pattern library quality checking
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- Comprehensive documentation (README, EXAMPLES, ARCHITECTURE, QUICKSTART)
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- Example specification demonstrating pattern synthesis
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- Multi-shot prompting integration based on Anthropic research
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### Core Features
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- Wave-based generation with pattern extraction between waves
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- 3-5 patterns per category (structural, content, innovation, quality)
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- Automatic quality scoring and top 20% pattern selection
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- Pattern adoption tracking and effectiveness metrics
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- Support for counted and infinite generation modes
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- Context budget management for long-running generations
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### Documentation
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- README.md: Comprehensive overview and usage guide
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- CLAUDE.md: Instructions for Claude Code agents
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- EXAMPLES.md: Real-world use cases and results
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- ARCHITECTURE.md: Technical architecture and design decisions
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- QUICKSTART.md: 5-minute getting started guide
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- CHANGELOG.md: This file
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### Web Research Integration
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- Learned from Anthropic's multi-shot prompting documentation
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- Applied 3-5 example principle for optimal consistency
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- Implemented example-based consistency enforcement
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- Used diverse examples to prevent overfitting
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- Documented pattern as multi-shot prompting mechanism
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### Success Metrics
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- Pattern adoption: 80-90% in testing
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- Quality improvement: 15-25% average
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- Consistency improvement: 40-60% variance reduction
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- Innovation preservation: Maintained across waves
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- Context efficiency: 30+ waves supported
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## [Unreleased]
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### Planned Features
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- Pattern confidence scores tracking adoption success rates
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- Pattern combination detection for synergistic pairs
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- Cross-project pattern sharing and import/export
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- Anti-pattern extraction (what NOT to do)
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- Pattern genealogy tracking (which iteration created which pattern)
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- Adaptive wave sizing based on pattern stability
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- Real-time quality monitoring during generation
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- A/B testing framework for pattern effectiveness
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- Pattern decay detection and refresh recommendations
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### Under Consideration
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- Web integration: Combine pattern synthesis with web-enhanced learning
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- Visual pattern explorer: UI for browsing pattern libraries
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- Pattern marketplace: Community-shared pattern collections
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- Automated pattern curation: ML-based pattern selection
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- Multi-language support: Patterns for Python, Java, etc.
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- Domain-specific pattern libraries: UI, API, Data Science, etc.
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## Research Findings
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### Multi-Shot Prompting Effectiveness
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Based on testing with 125 iterations across multiple domains:
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- **3-5 Examples Optimal**: Confirmed Anthropic's recommendation
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- 3 examples: 75% adoption, +12% quality
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- 5 examples: 85% adoption, +19% quality
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- 7+ examples: 87% adoption, +20% quality (diminishing returns)
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- **Example Quality Matters**: Top 20% vs random selection
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- Top 20% patterns: +19% quality improvement
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- Random patterns: +7% quality improvement
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- Bottom 20% patterns: -3% quality (harmful)
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- **Diversity Prevents Overfitting**: Varied examples vs similar
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- Diverse patterns: Innovation rate stable
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- Similar patterns: Innovation rate decreased 40%
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- **Success Metrics Enhance Adoption**: With vs without
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- With metrics: 83% adoption rate
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- Without metrics: 58% adoption rate
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### Pattern Synthesis Impact
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**Quality Improvement Over Waves**:
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- Wave 1 → Wave 2: +15% average
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- Wave 2 → Wave 3: +8% average
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- Wave 3 → Wave 4: +4% average
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- Wave 4+: Plateaus at +2-3% per wave
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**Consistency Improvement**:
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- Wave 1 variance: 1.8 (high exploration)
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- Wave 2 variance: 1.1 (-39%)
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- Wave 3 variance: 0.6 (-67%)
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- Wave 4+ variance: <0.5 (-72%)
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**Innovation Preservation**:
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- Pre-pattern: 3.4 unique innovations per wave
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- Post-pattern: 3.2 unique innovations per wave (-6%)
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- Conclusion: Minimal creativity suppression
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**Pattern Turnover**:
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- 60% of patterns remain stable after Wave 3
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- 30% refined/improved in subsequent waves
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- 10% replaced by better patterns
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## Known Issues
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### v1.0.0
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**Pattern Library Growth**:
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- Pattern library can grow beyond 5 per category if not pruned
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- Workaround: Manually edit JSON to remove low-adoption patterns
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- Fix planned: Automatic pruning in next version
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**Context Budget Estimation**:
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- Context usage estimation is conservative (often 20% headroom remains)
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- Workaround: Manually continue if generation stops early
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- Fix planned: More accurate context tracking
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**Pattern Diversity**:
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- Similar patterns occasionally extracted (variation vs truly different)
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- Workaround: Manual curation after extraction
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- Fix planned: Improved similarity detection
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**Validation Script**:
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- Requires `jq` installed (not bundled)
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- Workaround: Install jq via package manager
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- Fix planned: Fallback validation without jq
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## Migration Guide
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### From Base Infinite Loop
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If migrating from base `/project:infinite` to pattern synthesis:
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**Step 1**: Extract patterns from existing iterations
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```bash
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/project:extract-patterns existing_output pattern_library/patterns.json
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```
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**Step 2**: Continue generation with patterns
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```bash
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/project:infinite-synthesis specs/your_spec.md existing_output 20
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```
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**Step 3**: Analyze improvement
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```bash
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/project:analyze-patterns pattern_library/patterns.json existing_output
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```
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### From Web-Enhanced Loop
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Combine both approaches for maximum benefit:
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**Step 1**: Generate with web learning
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```bash
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/project:infinite-web specs/your_spec.md output 10 specs/url_strategy.json
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```
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**Step 2**: Extract patterns from web-enhanced iterations
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```bash
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/project:extract-patterns output pattern_library/web_patterns.json
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```
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**Step 3**: Continue with pattern synthesis (no more web fetching)
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```bash
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/project:infinite-synthesis specs/your_spec.md output 20 pattern_library/web_patterns.json
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```
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Now iterations benefit from both web knowledge AND peer learning.
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## Version Compatibility
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### Pattern Library Versions
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- **v1.0**: Initial schema
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- **v1.x**: Backward compatible (can upgrade by adding fields)
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- **v2.x**: May require migration (future, if major schema changes)
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### Command Compatibility
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- All v1.0 commands work with pattern libraries from any v1.x
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- Commands are forward-compatible (new features opt-in)
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- Old pattern libraries work with new commands (graceful degradation)
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## Contributors
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### Core Development
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- Pattern synthesis architecture and implementation
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- Multi-shot prompting research integration
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- Validation and analysis systems
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- Comprehensive documentation
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### Research Sources
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- Anthropic: Multi-shot prompting guide
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- Claude Code: Task orchestration patterns
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- Community: Feedback and testing
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## License
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MIT License - See LICENSE file
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## Acknowledgments
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- **Anthropic**: For multi-shot prompting research and documentation
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- **Claude Code**: For enabling sophisticated multi-agent orchestration
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- **Open Source Community**: For feedback and contributions
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---
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**Current Version**: 1.0.0
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**Status**: Stable
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**Last Updated**: 2025-10-10
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