Discover
Initial mapping of the codebase topology. We analyze repository structure, dependency graphs, and historical commit velocity to establish a baseline understanding of the system's scale and complexity.
/method
Code Health Framework
A rigorous, five-step diagnostic and remediation process designed to identify structural debt, assess architectural integrity, and formulate a precise roadmap for sustainable code health.
The Five Phases
Diagnose
Deep architectural inspection. We utilize static analysis tools and manual code review to identify anti-patterns, security vulnerabilities, and areas of high technical debt.
Score
Quantifying code health against our proprietary rubric. Every module is evaluated across modularity, test coverage, and performance metrics to generate a definitive health index.
Roadmap
Strategic planning for remediation. We prioritize technical debt resolution based on business impact, engineering velocity constraints, and risk mitigation.
Remediate
Execution of the roadmap. Systematic refactoring, architectural realignment, and the implementation of robust CI/CD pipelines to ensure ongoing code health.
Scoring Rubric
| Metric | Critical (0–3) | Warning (4–7) | Healthy (8–10) |
|---|---|---|---|
| Cyclomatic Complexity | > 15 per function. Highly entangled logic. | 6 – 15 per function. Moderate branching. | < 5 per function. Linear, predictable paths. |
| Test Coverage | < 40%. Critical paths unprotected. | 40% – 75%. Basic coverage, edge cases missed. | > 75%. Comprehensive suite including integration. |
| Dependency Freshness | Major versions behind. Known CVEs present. | Minor versions behind. Occasional patch lags. | Automated updates. No known vulnerabilities. |
| Documentation Density | Undocumented. Relies on oral history. | Inconsistent docstrings. Outdated READMEs. | Autogenerated API docs. Clear architecture logs. |