Engineering Enablement

Engineering Enablement

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AI in engineering

UKG’s system for driving effective AI use
How they created internal scorecards that managers could use to coach and guide their teams’ AI use.
 • Abi Noda
Five studies changing how I think about AI in software engineering
AI compressed the upstream work. What does that mean for everything downstream?
 • Brian Houck
From dashboards to decisions
What three real-world case studies taught us about productivity measurement that works.
 • Brian Houck
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.
 • 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.
 • 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.
 • 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.
 • Brian Houck
The AI efficiency plateau
Tracking the trajectory of developer time savings from AI
 • Brian Houck
AI productivity debate
Researchers and practitioners weigh in on AI’s current and future impact.
 • Justin Reock
The AI-native developer
Findings from a new study on how AI is reshaping the developer role.
 • Brian Houck
DX Annual: recording library
Key themes from our inaugural conference and which recordings to start with.
 • 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.
 • Justin Reock
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