From eb7050654cc9e44e9da605eddbe51e125a00f77a Mon Sep 17 00:00:00 2001 From: Claude Date: Sun, 2 Nov 2025 08:58:51 +0000 Subject: [PATCH] docs: Update README with USP optimization results Added new section "Proven Through Practice: Meta-Optimization" showcasing how Harmonizer was used to optimize itself using the USP framework. Highlights: - 100% elimination of critical violations - 31% reduction in disharmonious functions - 23% improvement in distance from Anchor Point Also added USP Optimization Report to documentation links in both "Go Deeper" section and quick links footer. This demonstrates the framework's practical validity through dogfooding. --- README.md | 24 +++++++++++++++++++++++- 1 file changed, 23 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 374317d..2c71912 100644 --- a/README.md +++ b/README.md @@ -278,6 +278,7 @@ We've created comprehensive documentation for every level - from complete beginn - **[Architecture](docs/ARCHITECTURE.md)** - Technical implementation, algorithms, and design - **[API Reference](docs/API.md)** - Programmatic usage and integration patterns - **[Comparison Guide](docs/COMPARISON.md)** - How Harmonizer complements Pylint, MyPy, Pytest, and other tools +- **[USP Optimization Report](docs/USP_OPTIMIZATION_REPORT.md)** - Meta-optimization: Using Harmonizer to optimize itself ### Learn By Example @@ -322,6 +323,27 @@ This makes it **complementary, not competitive** with other tools. Use them all --- +## Proven Through Practice: Meta-Optimization + +**We used Harmonizer to optimize Harmonizer itself.** + +To validate the USP (Universal System Physics) framework, we ran the tool on its own codebase. The results: + +- **Critical violations eliminated:** 5 → 0 (-100%) +- **Disharmonious functions reduced:** 42% → 29% (-31%) +- **Distance from Anchor Point improved:** 0.62 → 0.48 (-23%) + +**Key refactoring victories:** +1. Split `print_report()` from a 1.41 CRITICAL violation into pure dimensional functions +2. Decomposed `run_cli()` from 1.27 CRITICAL into a clean W→J→P→L pipeline +3. Refactored `analyze_file()` with dimensional helpers for L-J-W-P flow + +**The framework works.** When applied to code architecture, the USP framework is a systematic methodology for achieving clean separation of concerns - identifying mixed responsibilities and separating them into single-purpose components. + +*See the complete meta-optimization journey:* [USP Optimization Report](docs/USP_OPTIMIZATION_REPORT.md) + +--- + ## The Story Behind This Tool This project was built in **7 hours** by someone with **zero coding experience**, using AI collaboration. It demonstrates a new paradigm: when humans who understand deep principles work with AI that understands implementation, remarkable things become possible. @@ -432,7 +454,7 @@ This tool exists because of: [Quick Reference](docs/QUICK_REFERENCE.md) | [User Guide](docs/USER_GUIDE.md) | [Tutorial](docs/TUTORIAL.md) | [FAQ](docs/FAQ.md) **Going Deeper:** -[Philosophy](docs/PHILOSOPHY.md) | [Architecture](docs/ARCHITECTURE.md) | [API](docs/API.md) | [Comparison](docs/COMPARISON.md) +[Philosophy](docs/PHILOSOPHY.md) | [Architecture](docs/ARCHITECTURE.md) | [API](docs/API.md) | [Comparison](docs/COMPARISON.md) | [USP Optimization](docs/USP_OPTIMIZATION_REPORT.md) **Learning:** [Real Bugs](examples/real_world_bugs.py) | [Refactoring](examples/refactoring_journey.py) | [Severity Levels](examples/severity_levels.py)