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The State of AI Impact in Engineering: Q2 2026
Data from 500+ teams reveals that AI is delivering measurable velocity gains, but velocity alone isn't the story.
Jul 22
•
Justin Reock
25
3
DX Annual: recording library
Key themes from our inaugural conference and which recordings to start with.
May 11
•
Justin Reock
14
2
Announcing my new book, Frictionless
Nicole Forsgren's and my new book on developer experience.
Nov 19, 2025
•
Abi Noda
19
3
How Okta sets guardrails and context for AI agents
Okta Chief Architect Robert Lucero explains how organizations can securely deploy AI agents while improving engineering productivity, testing, and…
Sep 11
•
Brian Houck
2
37:35
AI accelerates output, not innovation
AI output explains 63% of developer time savings but shows a weak link to increased innovation ratio.
Sep 9
•
Grace Fu
16
2
2
Most Popular
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How Google Measures and Manages Tech Debt
Jun 9, 2023
•
Abi Noda
63
2
1
AI productivity gains are 10%, not 10x
Mar 11
•
Justin Reock
31
12
3
What are code reviews even for?
Aug 5
•
Brian Houck
47
2
6
Measuring Developers’ Jobs-To-Be-Done
Sep 6, 2024
•
Abi Noda
26
2
AI in engineering
See all
AI accelerates output, not innovation
AI output explains 63% of developer time savings but shows a weak link to increased innovation ratio.
Sep 9
•
Grace Fu
16
2
2
The quality paradox of AI-generated code
What a five-part definition of quality from 2020 tells us about software development in the age of AI.
Sep 2
•
Brian Houck
22
5
4
Can “Predictable Delivery” be measured?
Five statistical techniques for turning delivery history into forecasting confidence.
Aug 21
•
Brian Houck
15
2
Data & benchmarks
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“Your benchmarks don't apply to us"
Why benchmark trends matter more than you think.
Aug 14
•
Brian Houck
10
1
The State of AI Impact in Engineering: Q2 2026
Data from 500+ teams reveals that AI is delivering measurable velocity gains, but velocity alone isn't the story.
Jul 22
•
Justin Reock
25
3
The AI efficiency plateau
Tracking the trajectory of developer time savings from AI
May 27
•
Brian Houck
11
2
4
Recent posts
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The quality paradox of AI-generated code
What a five-part definition of quality from 2020 tells us about software development in the age of AI.
Sep 2
•
Brian Houck
22
5
4
42:41
Code Quality & AI Readiness at Capital One
Max Kanat-Alexander, Executive Distinguished Engineer at Capital One, discusses how AI is reshaping software development and why strong engineering…
Aug 26
•
Brian Houck
8
Can “Predictable Delivery” be measured?
Five statistical techniques for turning delivery history into forecasting confidence.
Aug 21
•
Brian Houck
15
2
Engineering Enablement
Research and perspectives on developer productivity.
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Engineering Enablement
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