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AI in engineering
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Can “Predictable Delivery” be measured?
Five statistical techniques for turning delivery history into forecasting confidence.
Aug 21
•
Brian Houck
13
Is there a relationship between cycle time and PR throughput?
There’s a closer relationship between the two in high-throughput organizations. In low-throughput organizations, there are other variables at play.
Aug 19
•
Brian Houck
and
Grace Fu
13
“Your benchmarks don't apply to us"
Why benchmark trends matter more than you think.
Aug 14
•
Brian Houck
10
DX Annual 2027: San Francisco and London
Next year DX Annual is returning to San Francisco and heading to London for the first time. Here's what to expect and how to register your interest.
Aug 11
•
Justin Reock
,
Brian Houck
, and
Abi Noda
10
3
What are code reviews even for?
AI didn't break code review. It just made the parts we'd been ignoring impossible to ignore.
Aug 5
•
Brian Houck
36
2
5
The unexpected things developer metrics can measure
We built metrics to evaluate developer tools. They turned out to explain everything from office design to Daylight Saving Time.
Jul 31
•
Brian Houck
15
Measuring the impact of AI coding tools: Capacity, not horsepower
Separate what to measure from how, then measure across dimensions.
Jul 29
•
Brian Houck
14
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
UKG’s system for driving effective AI use
How they created an internal dashboard that managers could use to coach and guide their teams’ AI use.
Jul 15
•
Abi Noda
9
1
1
Five studies changing how I think about AI in software engineering
AI compressed the upstream work. What does that mean for everything downstream?
Jul 10
•
Brian Houck
26
3
4
From dashboards to decisions
What three real-world case studies taught us about productivity measurement that works.
Jul 8
•
Brian Houck
16
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
23
1
2
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