Axiom Refract vs. Code Coverage
Coverage tells you what is tested. It does not tell you what is safe to change.
Code coverage tools measure which lines, branches, and functions are executed during test runs. High coverage is a positive signal for test quality, but it provides no information about architectural structure, dependency risk, or the blast radius of changes.
Feature Comparison
| Feature | Axiom Refract | Axiom Refract vs. Code Coverage |
|---|---|---|
| Architecture Governance | ✓ | — |
| SPOF Detection | ✓ | — |
| Blast Radius Analysis | ✓ | — |
| Dead Code Detection | ✓ | ✓ |
| Dependency Mapping | ✓ | — |
| Compliance Mapping | ✓ | — |
| MCP/AI Agent Integration | ✓ | — |
| Multi-Language (145+) | ✓ | — |
| C4 Diagram Generation | ✓ | — |
| Supply Chain Audit | ✓ | — |
Where This Approach Falls Short
- 100% coverage does not mean 0% architectural risk — a fully tested SPOF is still a SPOF
- Coverage tools cannot map dependencies, identify coupling, or calculate blast radius
- No compliance mapping or architectural deliverables
What Axiom Refract Does Differently
Tested vs. Safe
Coverage measures what is tested. Axiom measures what is structurally safe to change. A file with 100% coverage and 50 dependents is still high-risk.
Architectural Context
Axiom shows where a file sits in the dependency graph and what happens if it changes. Coverage shows whether that file has tests.
Complementary Signals
Coverage and architectural governance answer different questions. Axiom answers "what is the structural impact?" Coverage answers "is there a test?"
Who Should Consider Axiom Refract
Teams with strong test coverage that want to understand whether their well-tested code is also well-structured and architecturally safe.
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