Data collection methodologies for measuring AI impact
There are three complementary data collection methods that, together, offer a well-rounded approach to measuring the impact of AI tooling.
Laura Tacho
CTO
All posts
METR’s study on how AI affects developer productivity
In this study, developers were 19% slower when using AI.
Abi Noda
CEO
AI: a complete paradigm shift, or just another dev tool?
A straightforward answer: it's both.
Laura Tacho
CTO
Takeaways: How to measure engineering productivity in the AI era
DX CEO and CTO Abi Noda and Laura Tacho discuss how to measure AI’s impact in engineering, track AI-generated code, safeguard quality, and more.
Brook Perry
Marketing
Using DX as a Director of Engineering at Adyen
A Director of Engineering at Adyen uses DX to align with Product, influence platform roadmaps, and drive data-driven decisions across teams.
Kali Watkins
Product Marketing
Introducing 2025 DX benchmarks
Get granular performance insights—from FinTech-specific metrics to role-based comparisons—powered by the world's largest engineering data set.
Abi Noda
CEO
How can you measure AI's impact on your organization?
Despite AI's impact on how developers work, the core objectives remain the same: delivering working software that solves real problems
Laura Tacho
CTO
How Snowflake’s DevProd team operates
The communication channels, rhythms, and principles that made Snowflake’s DevProd team one of the most trusted teams in the company.
Kali Watkins
Product Marketing
Applying the DORA metrics
DORA metrics can guide performance improvements, if you understand their context and limits.
Laura Tacho
CTO
AI acceptance rate: Easy to measure, easy to misuse
The question is no longer does AI work; it’s how well, and for whom, and where is the most value being created?
Laura Tacho
CTO
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
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
Introducing the new DX AI: the copilot for engineering leaders
Meet DX AI, the always-on copilot for engineering leaders.
Abi Noda
CEO
Setting targets for developer productivity metrics
Principles for setting goals around developer productivity metrics while avoiding common pitfalls.
Laura Tacho
CTO
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