Module 05 of 8~12 minPro
Productivity Metrics That Matter
Lines of code per session, commits per developer, PR velocity, tool acceptance rates, and how to separate signal from noise in AI-assisted development.
§ You will learn
- Evaluate lines of code as a metric and understand why it fails as a standalone measure of productivity
- Use commits and pull requests as output metrics that correlate with actual delivered work
- Interpret tool acceptance rates as a signal of developer trust and tool quality
- Analyze session duration and active time to understand how developers integrate Claude Code into their workflow
- Separate signal from noise by combining metrics into composite indicators that predict developer effectiveness
§ Sealed entry
This module is part of the Pro record.
5 sections · ~12 min · objectives above are the preview