The AI Divide
MIT NANDA’s 2025 report on what separates successful AI pilots from those that stall, and how the role of engineers is evolving.
Justin Reock
Deputy CTO
Research & Insights
AI and productivity: Year-in-review with Microsoft, Google, and GitHub researchers
What 2025’s AI research told us about developer productivity and identity, and why enablement matters more than tool choice.
Laura Tacho
CTO
Takeaways: Running data-driven evaluations of AI engineering tools
How to compare AI engineering tools using cohorts, baselines, and meaningful metrics
Autumn Faust
Community Insights
Using AI to accelerate hiring and productivity at Zapier
Lessons from Zapier’s experience building hundreds of internal AI agents to reduce engineering friction.
Justin Reock
Deputy CTO
Applying AI where it matters
Microsoft’s recent study offers a path to target AI investments based on what developers actually need.
Abi Noda
CEO
Do newer AI-native IDEs outperform other AI coding assistants?
Claude Code and Cursor are associated with higher PR throughput, but org size and company stage play a big role.
Laura Tacho
CTO
AI-assisted engineering: Q4 impact report
Data and insights from 400+ organizations navigating their AI transformation.
Laura Tacho
CTO
The AI Strategy Playbook: What engineering leaders need to know about driving AI impact
Why some teams see 20-point jumps in productivity while others see performance decline
Justin Reock
Deputy CTO
Meetings and interruptions are still the biggest obstacles for developers, even with AI
AI is not a silver bullet for productivity.
Justin Reock
Deputy CTO
Takeaways: How engineering leaders are planning AI budgets for next year
The current baseline for AI investment, why multi-vendor strategies are the norm, and which metrics leaders can use to demonstrate ROI on AI tools.
Autumn Faust
Community Insights
How are engineering leaders approaching 2026 AI tooling budgets?
Nearly half of engineering leaders are dedicating 1–3% of their 2026 budgets to AI tools, prioritizing measurable ROI, multi-vendor flexibility, and productivity gains.
Laura Tacho
CTO
What the 2025 DORA Report means for your AI strategy
DORA’s 2025 State of AI-Assisted Engineering Report reveals how AI is reshaping software delivery—amplifying both good and bad practices.
Laura Tacho
CTO
AI’s impact on quality: A volatile, uneven landscape
DX data shows AI’s impact on code quality varies widely—reinforcing the need for leaders to measure outcomes within their own organizations.
Justin Reock
Deputy CTO
How 18 companies measure AI’s impact in engineering
The real metrics that GitHub, Google, Dropbox, and 15 other companies use to measure AI impact.
Laura Tacho
CTO
AI cuts onboarding time in half for new hires in the enterprise
Data from DX shows that engineers who use AI daily reach onboarding milestones nearly twice as fast as non-users.
Laura Tacho
CTO
Takeaways: The evolving role of DevProd teams in the AI era
DX CEO and CTO Abi Noda and Laura Tacho discuss the “new mandate” for DevProd teams—what they should be focused on right now to remain relevant and impactful.
Kali Watkins
Product Marketing
Does tenure change how developers benefit from AI tools?
Data from 16,301 developers shows that while tenure still matters, AI levels the playing field.
Laura Tacho
CTO
Building better software faster: Leading in the age of AI
Learn how to measure AI's real impact on developer productivity with proven frameworks. Get actionable strategies to move beyond hype and drive measurable improvements in your engineering organization.
Laura Tacho
CTO
How Faire's platform team built an AI code review agent
A closer look at how Faire is putting AI to work beyond just code generation.
Justin Reock
Deputy CTO
Unpacking METR’s findings: Does AI slow developers down?
A new study found developers were slower with AI coding tools than without. In this candid interview, METR study participant Quentin Anthony reveals why, and shares tips for using AI more effectively.
Kali Watkins
Product Marketing