AI Coding Benchmark

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)

We Can Just Measure Things

Using programming agents to measure measuring developer productivity.

https://lucumr.pocoo.org/2025/6/17/measuring/