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
Engineering leaders are under pressure to measure the impact of AI tools, but doing it wrong can backfire. This guide shares four best practices for introducing AI metrics in a thoughtful way.
Laura Tacho
CTO
If developers are saving time with AI, where does the time go?
Laura Tacho
CTO
Early trends on how AI is reshaping software development, and how leaders can measure what matters to drive real impact.
Abi Noda
CEO
There are three complementary data collection methods that, together, offer a well-rounded approach to measuring the impact of AI tooling.
Laura Tacho
CTO
In this study, developers were 19% slower when using AI.
Abi Noda
CEO
A straightforward answer: it's both.
Laura Tacho
CTO
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
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
Despite AI's impact on how developers work, the core objectives remain the same: delivering working software that solves real problems
Laura Tacho
CTO
A research-based approach for measuring the impact of AI in your organization.
Laura Tacho
CTO
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
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
Show real use cases, outline the cost of enablement, and tell a story with data.
Laura Tacho
CTO
Principles for setting goals around developer productivity metrics while avoiding common pitfalls.
Laura Tacho
CTO
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
Google cuts code migration time in half by automating tasks with AI.
Abi Noda
CEO
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
SPACE co-author Brian Houck shares proven tactics for moving the needle on AI adoption.
Kali Watkins
Product Marketing
A behind-the-scenes look at how engineering leaders at Netflix, Indeed, Twilio, Pinterest, and Dropbox are redefining developer productivity.
Justin Reock
Deputy CTO