CAFE(S): A framework for making your agents more effective. Download the whitepaper.
How a DevProd leader from a big tech company uses DX's experience sampling and targeted surveys to build an always-on pipeline of developer feedback.
Kali Watkins
Product Marketing
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
What 2025’s AI research told us about developer productivity and identity, and why enablement matters more than tool choice.
Laura Tacho
CTO
How to compare AI engineering tools using cohorts, baselines, and meaningful metrics
Autumn Faust
Community Insights
Lessons from Zapier’s experience building hundreds of internal AI agents to reduce engineering friction.
Justin Reock
Deputy CTO
November DX updates introduce a redesigned Snapshot triage flow with comments in DevSat, plus conditional and scheduled studies across Targeted Studies and Experience Sampling for smoother, more continuous developer experience measurement.
Leo Epstein
Product Marketing
Microsoft’s recent study offers a path to target AI investments based on what developers actually need.
Abi Noda
CEO
A clear, practical system for improving developer experience. Learn how to measure DevEx, identify friction, and drive lasting change—based on insights from Frictionless.
Abi Noda
CEO
Claude Code and Cursor are associated with higher PR throughput, but org size and company stage play a big role.
Laura Tacho
CTO
Data and insights from 400+ organizations navigating their AI transformation.
Laura Tacho
CTO
Why some teams see 20-point jumps in productivity while others see performance decline
Justin Reock
Deputy CTO
Technical leadership shapes developer experience through clarity, reduced cognitive load, and shorter feedback loops. Discover what separates effective tech leads from managers.
Taylor Bruneaux
Analyst
AI is not a silver bullet for productivity.
Justin Reock
Deputy CTO
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
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
SLAs allow you to set up goals around specific performance metrics and see how your team is performing relative to them.
Josh Beitler
Product manager
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 coding assistants promise speed, but are they sacrificing quality? Discover three key metrics for measuring the impact of AI on quality.
Kali Watkins
Product Marketing
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
Here’s what’s new with DX AI.
Leo Epstein
Product Marketing