Yegor Denisov-Blanch

Yegor Denisov-Blanch studies how AI affects software engineering as a research scientist at the Stanford AI Lab and co-founder of P10Y. His work uses software repository data and assessments of code changes to examine developer output and the effects of AI coding tools. He previously served as chief of staff to DHL’s CEO for EMEA.

Career

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Elsewhere

Stanford University

2025 — Present

Research Scientist, Stanford AI Lab

P10Y

2025 — Present

Co-Founder

DHL

Jan 2017 — Jan 2022

Chief of Staff to EMEA CEO & Digital/Strategic Transformation

DHL

2017 — 2022

Chief of Staff to CEO, EMEA

Stanford Graduate School of Business

MBA

Indiana University Kelley School of Business

Bachelor's studies

Products & media

arxiv.org

A Few Pages of Markdown

Yegor Denisov-Blanch and coauthors introduce RAMP, a framework for measuring repository AI configuration, and examine its association with code quality after coding-agent adoption.

Writing

ai.engineer

Does AI Actually Boost Developer Productivity? (Stanford / 100k Devs Study)

A talk on evidence from software repositories about AI coding tools, developer output, and the rework that affects how much output becomes useful progress.

Media appearance

ai.engineer

How to Quantify AI ROI in Software Engineering (Stanford Study / 120k Devs)

He explains a repository-based framework for assessing software engineering output and evaluating AI’s impact on code quality and rework.

Media appearance

p10y.com

DORA metrics don’t measure developer productivity. They measure CI/CD practice adoption.

An analysis of why deployment metrics alone can miss differences in software output, and how code changes can be assessed as an alternative.

Writing

p10y.com

GenAI helps low-performing Software teams >2x more than high-performing ones

A case study comparing reported productivity changes across five software teams after adopting generative AI tools.

Writing

obstbaum.eu

Ghost Engineers with Yegor Denisov-Blanch and Simon Obstbaum

A podcast conversation about Stanford research on developer output, measuring engineering work, and the idea of “ghost engineers.”

Media appearance

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Yegor Denisov-Blanch

Stanford University

P10Y

DHL

DHL

Stanford Graduate School of Business

Indiana University Kelley School of Business

Products & media

A Few Pages of Markdown

Does AI Actually Boost Developer Productivity? (Stanford / 100k Devs Study)

How to Quantify AI ROI in Software Engineering (Stanford Study / 120k Devs)

DORA metrics don’t measure developer productivity. They measure CI/CD practice adoption.

GenAI helps low-performing Software teams >2x more than high-performing ones

Ghost Engineers with Yegor Denisov-Blanch and Simon Obstbaum

Curated Lists

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