How are developers using AI? Inside our 2025 DORA report

AI | 2025 Stack Overflow Developer Survey

84% of respondents are using or planning to use AI tools in their development process, an increase over last year (76%). This year we can see 51% of professional developers use AI tools daily.

The New Software Lifecycle

I co-wrote a Google whitepaper about how AI is changing the software lifecycle. I'm not going to summarize the whole thing. Instead, here are the handful of ...

DORA | State of AI-assisted Software Development 2025

DORA is a long running research program that seeks to understand the capabilities that drive software delivery and operations performance. DORA helps teams apply those capabilities, leading to better organizational performance.

How building software is changing at Anthropic

A deepdive on what’s changed in how the leading AI lab makes software. Ever more code review and testing is done by AI, two-pizza teams very much alive, and more. Details from inside of Anthropic

Measuring the Impact of Early-2025 AI on Experienced Open-Source...

Despite widespread adoption, the impact of AI tools on software development in the wild remains understudied. We conduct a randomized controlled trial (RCT) to understand how AI tools at the...

The 2026 Developer's Guide to Free Google Cloud Credits (For AI & Side Projects)

If you’re a beginner or developer who wants to pursue a career in AI in 2026, you can’t ignore the...

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.

AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds

GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review bottlenecks and new challenges for enterprise governance and traceability.

Built-in AI  |  AI on Chrome  |  Chrome for Developers

Developers, Reinvented – Thomas Dohmke

What started as fear of AI replacing developers is switching to pragmatically embracing the ambitious reality of AI and viewing it as a growth opportunity. As we build the tools of tomorrow, we can usher developers through this reinvention of their role in ways that are intuitive, delightful, and cater to developers’ curiosity, keeping them fulfilled and happy during the transition. That makes us optimistic. Realistically.

Developers say AI coding tools work—and that's precisely what worries them

Ars spoke to several software devs about AI and found enthusiasm tempered by unease.

The Recurring Cycle of 'Developer Replacement' Hype

AI isn't replacing developers, it's transforming them. Just as NoCode created specialists and cloud turned sysadmins into DevOps engineers, AI elevates engineers from code writers to system architects. The most valuable skill isn't writing code, it's designing coherent systems.

River's Blog: Blog - AI took the old software engineering, there is a new software engineering in town

Software engineering problems have changed, it's no logner just writing code - the hard part is now being responisible and writing good code

How Uber uses AI for development: inside look

How Uber built Minion, Shepherd, uReview, and other internal agentic AI tools. Also, new challenges in rolling out AI tools, like more platform investment and growing concern about token costs