We Didn't Build a Framework and Hope It Works
We used AI to build CleanAim®—twice. These metrics come from 57,338 evolved patterns building real infrastructure. Every number is auditable.
Lines of Production Code
Version 1: 705K lines. Version 2: 400K lines. All built with AI assistance.
Self-Audit Score
Honest calibration matters more than perfect scores.
Test Functions
Not lines of test code—actual test functions.
Evolved Patterns
Learning that compounds across sessions.
Context Restoration
Perfect handoff success rate across sessions.
Transfer Efficiency
Cross-model learning that survives provider switches.
BUILT TWICE
Proven Across Two Complete Builds
Version 1
Initial platform build. Proved the methodology works. Identified patterns that informed v2 architecture.
- 705K Lines of code
- Complete Platform build
Version 2
Complete rebuild with lessons learned. Cleaner architecture. Better patterns. Faster development.
- 400K Lines of code
- Zero Architectural violations
DETAILED METRICS
The Full Picture
Context Management
- Evolved patterns captured 57,338
- Handoff automation rate 92%
- Context restoration success 100%
Guardrail Enforcement
- 'Do NOT' rules defined 515
- Exit gate references 1,350
- Bypass attempts logged 100%
Learning System
- Pattern evolution cycles 57,338
- Predictions in database 14,000+
- Prediction-outcome pairing 100%
Cross-Model Transfer
- Transfer efficiency 93.3%
- LLM providers supported 7
- Frozen behavioral events 275
Architectural Integrity
- Protocol classes tracked 416
- Specification files 42
- must_exist rules enforced 137
See How Your Workflow Compares
Get a diagnostic that benchmarks your AI development practices against these metrics.
Get Your Diagnostic