# Engineering Productivity Blog

Insights on AI coding tools, DORA metrics, and building high-performing engineering teams.

## Productivity  
**Beyond Lines of Code: Measuring Engineering Productivity with AI**  
Why traditional productivity metrics are flawed, and how we built an AI-native system that estimates the actual effort and complexity behind every merged Pull Request.  
[Read more](/content/blog/beyond-lines-of-code-measuring-engineering-productivity-with-ai/index.html)

## AI Adoption  
**Measuring AI's Impact on Engineering Productivity: A Framework Built on Real Rollouts**  
Most engineering orgs are flying blind on a major tooling investment. Inside the statistically rigorous framework we use to measure if AI coding tools — Cursor, Claude Code, Copilot, Augment — are actually making teams faster.  
[Read more](/content/blog/measuring-ai-impact-on-engineering-productivity/index.html)

## Methodology  
**LLMs Don't Replace Classical ML — They Feed It**  
How we use LLMs to turn pull requests into structured features, and why the most interesting analytical work in engineering intelligence happens downstream — in classical models like k-means and PCA.  
[Read more](/content/blog/llms-as-feature-extractors-for-classical-ml/index.html)