







The consulting firm came up with a methodology they claim can measure software developer productivity. But that measurement comes at a high price – and we offer a more sensible approach.
Software Engineering Productivity Research - Home
Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford
A Guide to Measuring Engineering Team Performance
“You can’t manage what you can’t measure.” While software development practices constantly change, there will always be a tier of truly top engineering teams who stand above…

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity
We conduct a randomized controlled trial to understand how early-2025 AI tools affect the productivity of experienced open-source developers working on their own repositories. Surprisingly, we find that when developers use AI tools, they take 19% longer than without—AI makes them slower.

How I estimate work as a staff software engineer
There’s a kind of polite fiction at the heart of the software industry. It goes something like this:

AI boosts worker productivity — but does that translate to final outputs? | MIT Sloan
A new study found that developers using AI tools can write much more code than those working without AI, but they don’t release as much new software.

We are Changing our Developer Productivity Experiment Design
Our second developer productivity study faces selection effects from wider AI adoption, prompting us to redesign our approach.


What We Know We Don't Know: Empirical Software Engineering
Empirical Software Engineering is the study of what actually works in programming. Instead of trusting our instincts we collect data, run studies, and peer-review our results. This talk is all about how we empirically find the facts in software and some of the challenges we face, with a particular focus on software defects and productivity. Talk doesn’t seem to be online yet; in the meantime, you can see a recording of an older version of the talk here.
The developer’s dilemma
When it comes to making money, software developers are an odd bunch. Developers produce code, and code is in high demand. At a glance, it…
Stack Overflow Developer Survey 2026
More than 30K technologists from 169 countries have shared their thoughts with us, and now it’s time to share everything we’ve learned with you. So let’s dive into this year’s Annual Developer Survey.

21 Productivity Hacks I’ve Picked Up Over the Years
A thorough list of practical productivity methods I've used and refined over the last 16 years.

Devs gaining little (if anything) from AI coding assistants
Code analysis firm sees no major benefits from AI dev tool when measuring key programming metrics, though others report incremental gains from coding copilots with emphasis on code review.

AI Code Is Producing a Quality Crisis Nobody Wants to Talk About
The productivity numbers look great. AI coding tools are everywhere.
The Productivity Is Real. The Scaling Isn't.
What running an AI agent team taught me about why organizations can't do what one person can.

Harvard just dropped a study AI productivity in software engineering and it found the average increase in productivity from using Claude code is.....zero and for exactly the reasons you'd think fion.ac/jellyfish.pdf