AI Coding Benchmarks
What we need in practice measure
- Test Code Coverage & Success Rate
- Error Count & Clarity
- Response Time for build, test, and deployment
- Ecosystem Stability (count of dependency conflicts and documentation/API mismatches)
- Abstraction Complexity (module coupling, average LOC per function, cyclomatic complexity)
- Dev‐Environment Reliability (ability to distinguish setup vs. code failures)