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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
15
1
The AI efficiency plateau
Tracking the trajectory of developer time savings from AI
May 27
•
Brian Houck
11
2
4
AI productivity debate
Researchers and practitioners weigh in on AI’s current and future impact.
May 20
•
Justin Reock
11
1
The AI-native developer
Findings from a new study on how AI is reshaping the developer role.
May 14
•
Brian Houck
25
3
DX Annual: recording library
Key themes from our inaugural conference and which recordings to start with.
May 11
•
Justin Reock
12
2
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
26
3
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
19
4
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
38
1
5
AI Impact Report: Q1 2026
A quarterly snapshot from 400+ companies integrating AI into daily engineering work
Apr 14
•
Justin Reock
20
2
Developer ramp-up time continues to accelerate with AI
Time to 10th PR has more than halved since early 2025.
Apr 9
•
Justin Reock
13
5
AI-generated merged code holds steady at ~30%
A preview from our upcoming Q1 AI Impact Report.
Apr 1
•
Justin Reock
10
How do we interpret AI impact without overclaiming causation?
A better way of framing the impact of AI.
Mar 25
•
Abi Noda
15
2
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