Booking.com’s Bruno Passos shares how the company rolled out AI to 3,000 engineers, overcame adoption and cultural hurdles, and built practices that turned skeptics into daily users.| newsletter.getdx.com
AI is reshaping the mandate for platform teams. Here’s what they should focus on to stay relevant and drive impact.| newsletter.getdx.com
Developers overwhelmingly believe AI enhances their productivity, yet its impact is far from uniform across all tasks and teams.| Engineering Enablement
A data-driven guide to measuring developer productivity in the AI era, cutting through hype to track real impact and ensure sustainable gains.| Engineering Enablement
Snowflake leaders Gilad Turbahn and Amy Yuan reveal how they drive operational excellence by treating teams like customers and use roadmaps plus advisory boards to align priorities and scale planning.| Engineering Enablement
DX CTO Laura Tacho shares how leaders can overcome fear and hype to drive AI adoption and measure real impact in engineering teams.| Engineering Enablement
Google’s Derek DeBellis shares how generative AI is impacting developer productivity, team flow, and how to measure its real value.| Engineering Enablement
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.| Engineering Enablement
Laura Tacho, CTO at DX, explains how engineering teams can effectively use the Core 4 framework by focusing on controllable inputs instead of arbitrary metrics.| newsletter.getdx.com
Research and perspectives on developer productivity. Click to read Engineering Enablement, a Substack publication with tens of thousands of subscribers.| newsletter.getdx.com
Microsoft and Accenture’s studies found a 26% increase in task completion with Copilot, but adoption rates varied.| newsletter.getdx.com
A closer look at how Faire is putting AI to work beyond just code generation.| Engineering Enablement
Live from LeadDev London, this episode explores how leaders can cut through AI hype using data from 39,000 developers and two key frameworks to improve developer experience and drive impact.| Engineering Enablement
Why the slowdown occurred, and advice for using AI tools more effectively.| Engineering Enablement
Quentin Anthony unpacks why AI coding tools slow developers despite boosting perceived productivity, and how teams can improve results with task‑level fit and better digital hygiene.| Engineering Enablement
How to track AI's impact, keep an eye on quality, and use metrics to drive action.| newsletter.getdx.com
In this study, developers were 19% slower when using AI.| newsletter.getdx.com
Frank Fodera shares how CarGurus broke up a monolith, rolled out AI tools, and built their own internal developer portal—tying it all back to real business impact.| Engineering Enablement
A research-based approach for measuring the impact of AI-assisted engineering in your organization.| Engineering Enablement
The communication channels, rhythms, and principles that made Snowflake’s DevProd team one of the most trusted teams in the company.| newsletter.getdx.com
A randomized trial at Google estimates a 21% speed boost from AI coding tools.| newsletter.getdx.com
Show real use cases, outline the cost of enablement, and tell a story with data.| newsletter.getdx.com
How to set goals on the right types of metrics while avoiding common pitfalls.| newsletter.getdx.com
A close look at how Google’s Engineering Satisfaction survey works.| newsletter.getdx.com
Software engineering is creative and there are outside forces that influence productivity.| newsletter.getdx.com
A simple way to conceptualize developer productivity.| newsletter.getdx.com
Individuals, teams, organizations, and markets need different productivity metrics.| newsletter.getdx.com
Job enthusiasm, peer support for new ideas, and receiving useful feedback about job performance strongly correlate with developer productivity.| newsletter.getdx.com