AI in engineering

Revisiting the DX Core 4 in the age of AI

Why the dimensions that matter most for engineering productivity remain stable, and how to interpret them as AI reshapes work.

Jun 24 • Brian Houck

AI-authored code has nearly doubled, but so has PR size

Findings from our analysis of over 400 organizations from the past year.

Jun 17 • Justin Reock

Five years later: Reflecting on SPACE with the people who built it

The authors of SPACE met in person for the first time. Here's what five years of AI, remote work, and real-world use taught them.

Jun 9 • Brian Houck

8 myths on software engineering and AI

What the latest research actually says about AI's impact on developers, and where leaders are still getting it wrong.

Jun 3 • Brian Houck

The AI efficiency plateau

Tracking the trajectory of developer time savings from AI

May 27 • Brian Houck

AI productivity debate

Researchers and practitioners weigh in on AI’s current and future impact.

May 20 • Justin Reock

The AI-native developer

Findings from a new study on how AI is reshaping the developer role.

May 14 • Brian Houck

DX Annual: recording library

Key themes from our inaugural conference and which recordings to start with.

May 11 • Justin Reock

Designing the AI-native engineering organization

How 1Password, Atlassian, and Microsoft are responding to AI’s impact on software development and team structure.

May 5 • Justin Reock

AI productivity gains: More modest than expected

Findings from DX’s longitudinal analysis of AI’s impact on velocity from November 2024 to February 2026.

Apr 28 • Abi Noda and Brian Houck

Cognitive debt: The hidden risk in AI-driven software development

How cognitive debt shows up in practice and early mitigation strategies.

Apr 22 • Abi Noda and Margaret Anne Storey

AI Impact Report: Q1 2026

A quarterly snapshot from 400+ companies integrating AI into daily engineering work

Apr 14 • Justin Reock

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