DX now supports Windsurf: Measure AI usage, impact, and ROI
Track Windsurf adoption, quantify time savings, and drive effective enablement.
Greyson Junggren
Co-founder, CRO
All Posts
Track Amazon Q adoption, impact, and ROI directly in DX
Measure adoption, understand impact, and accelerate AI enablement with DX's new integration.
Greyson Junggren
Co-founder, CRO
DX expands GitHub Copilot integration to measure impact of Agentic AI
New agent-level insights help engineering leaders track adoption, prove ROI, and optimize Copilot’s impact on productivity and quality.
Greyson Junggren
Co-founder, CRO
Introducing software catalogs, scorecards, and self-service
DX now helps organizations track ownership, ensure standards, and automate developer workflows.
Tyler Wray
Product lead
DX releases integration with Cursor to measure the impact of AI
DX's new integration with Cursor helps leaders measure it's adoption, usage, and impact across every team and workflow.
Greyson Junggren
Co-founder, CRO
How to communicate the reality of AI-assisted engineering in today’s hype cycle
Show real use cases, outline the cost of enablement, and tell a story with data.
Laura Tacho
CTO
Setting targets for developer productivity metrics
Principles for setting goals around developer productivity metrics while avoiding common pitfalls.
Laura Tacho
CTO
Introducing the new DX AI: the copilot for engineering leaders
Meet DX AI, the always-on copilot for engineering leaders.
Abi Noda
CEO
Announcing new lifecycle reporting to quantify engineering time waste
Every week, your developers lose hours to invisible bottlenecks—DX’s new lifecycle reporting shines a spotlight on where time is really being wasted.
Isaac Noda
Product Lead
Findings from Microsoft’s 3-week study on Copilot use
After three weeks of using Copilot, developers felt more positive about the tool and AI overall, but they also emphasized the ongoing need to carefully validate AI-generated code.
Abi Noda
CEO
How Google is accelerating code migrations with AI
Google cuts code migration time in half by automating tasks with AI.
Abi Noda
CEO
Introducing the DX MCP Server
Access your DX data from your AI tools with the DX MCP Server.
Zak Hijaouy
Software Engineer
Characterizing a high-functioning team
Developers on high-functioning teams are more productive, satisfied, and confident in their team’s ability to ship high-quality work quickly.
Abi Noda
CEO
Driving AI tool adoption — Lessons from Microsoft
SPACE co-author Brian Houck shares proven tactics for moving the needle on AI adoption.
Kali Watkins
Product Marketing
What we learned from Netflix, Pinterest, and Dropbox about measuring developer productivity
A behind-the-scenes look at how engineering leaders at Netflix, Indeed, Twilio, Pinterest, and Dropbox are redefining developer productivity.
Justin Reock
Deputy CTO
Can LLMs earn $1M from real freelance coding work?
A new benchmark tests AI’s ability to complete real-world software engineering tasks.
Abi Noda
CEO
5 interesting learnings from Revenue per Engineer data at 300+ companies
Top-performing companies see $1.5M+ Revenue per Engineer.
Abi Noda
CEO
The gap between developers’ ideal and actual workdays
How developers allocate their time and where AI can help.
Abi Noda
CEO
Three ways DevEx initiatives fail before they even get started
There are three consistent mistakes that undermine DevEx efforts, regardless of company size or technical stack.
Laura Tacho
CTO
AI-assisted development is the future—but productivity matters more than ever
AI-assisted development is reshaping software engineering, but mastering productivity measurement will determine who thrives and who falls behind.
Abi Noda
CEO