Measuring Developer Productivity in the Age of AI
· 10 min read
When Traditional Metrics Stop Working​
AI-assisted development is no longer an experiment. It is part of everyday engineering work across organizations of all sizes. Tools powered by large language models generate code, propose refactors, write tests, summarize pull requests, and coordinate multi-step engineering tasks.
This creates a fascinating and uncomfortable challenge: productivity is clearly improving, but it is becoming much harder to measure accurately.