Archive - Engineering Enablement

Can “Predictable Delivery” be measured?

Five statistical techniques for turning delivery history into forecasting confidence.

Aug 21 • Brian Houck

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

AI in engineering: Q2 2026 benchmarks & research readout

Brian Houck and Justin Reock unpack DX’s latest AI Impact Report, exploring where AI is improving engineering velocity and where those gains are failing…

Aug 14 • Brian Houck

38:51

“Your benchmarks don't apply to us"

Why benchmark trends matter more than you think.

Aug 14 • Brian Houck

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

How Microsoft sees engineering bottlenecks changing with AI

Tim Bozarth, Microsoft CoreAI CVP, explains how AI is changing engineering productivity, why outcomes matter more than output, and what engineering…

Aug 7 • Brian Houck

39:24

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

July 2026

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

Measuring the impact of AI coding tools: Capacity, not horsepower

Separate what to measure from how, then measure across dimensions.

Jul 29 • Brian Houck

Research briefing with Brian Houck: Measuring AI agents and revisiting the Core 4

Justin Reock and Brian Houck explore how AI coding agents are reshaping engineering metrics and what leaders need to measure in the age of AI.

Jul 24 • Justin Reock

46:32

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

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

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