Report: The AI Productivity Paradox

Full Report: What data from 10,000 developers reveals about impact, barriers, and the path forward. Insights from our analysis of 1,255 teams across leading software engineering organizations.

Desk showing the Operationalizing AI in Software Engineering report next to coffee and glasses

Report: The AI Productivity Paradox

Full Report: What data from 10,000 developers reveals about impact, barriers, and the path forward. Insights from our analysis of 1,255 teams across leading software engineering organizations.

Desk showing the Operationalizing AI in Software Engineering report next to coffee and glasses
Chapters
Faros Research

Faros Research

Faros Research studies how engineering teams build, deliver, and improve. From annual reports to customer insights, our analysis helps enterprises understand what's working (and what's not) in AI-native software engineering.

AI Is Everywhere. Impact Isn’t.
75% of engineers use AI tools—yet most organizations see no measurable performance gains.

Read the report to uncover what’s holding teams back—and how to fix it fast.
Cover of Faros AI report titled "The AI Productivity Paradox" on AI coding assistants and developer productivity.
Discover the Engineering Productivity Handbook
How to build a high-impact program that drives real results.

What to measure and why it matters.

And the 5 critical practices that turn data into impact.
Cover of "The Engineering Productivity Handbook" featuring white arrows on a red background, symbolizing growth and improvement.
Graduation cap with a tassel over a dark gradient background.
AI ENGINEERING REPORT 2026
The Acceleration 
Whiplash
The definitive data on AI's engineering impact. What's working, what's breaking, and what leaders need to do next.
  • Engineering throughput is up
  • Bugs, incidents, and rework are rising faster
  • Two years of data from 22,000 developers across 4,000 teams
Research
7
MIN READ

Ten takeaways from the AI Engineering Report 2026: The Acceleration Whiplash

What two years of telemetry data from 22,000 developers reveals about AI's real impact on developer productivity, code quality, and business risk in 2026.

Blog
8
MIN READ

A software engineering metrics glossary for business and technical leaders

A practical software engineering glossary for the AI era: pull requests, PR size, merge rate, code churn, incident rate, and the DORA metrics engineering teams use to measure AI's impact on productivity and quality.

Customers
10
MIN READ

An industrial technology leader lays the foundation for AI transformation with Faros

Learn how a global industrial technology leader used Faros to unify 40,000 engineers and build the measurement foundation for AI transformation.