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.
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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.
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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.
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