The AI Strategy Playbook: What engineering leaders need to know about driving AI impact
Why some teams see big productivity gains while others see declines.| Engineering Enablement
Why some teams see big productivity gains while others see declines.| Engineering Enablement
AI is not a silver bullet for productivity.| Engineering Enablement
Abi Noda and I share how engineering leaders can plan effective 2026 AI budgets that balance innovation, cost, and measurable ROI.| Engineering Enablement
Leaders are setting aside at least 1-3% of their total engineering budgets for AI tools.| newsletter.getdx.com
AI amplifies bad practices, real gains come from focusing AI efforts on systems, and success depends on strong change management.| Engineering Enablement
Data from 43,000 engineers across ~100 companies shows quality outcomes ranging from big gains to serious declines.| newsletter.getdx.com
I sit down with DX CTO Laura Tacho to share how AI is transforming Platform and DevProd teams, from tool standardization to reducing tech debt and modernizing workflows.| Engineering Enablement
Data from more than 50,000 developers suggests that traditional enterprises are beating big tech on AI adoption and time savings.| newsletter.getdx.com
The real metrics that GitHub, Google, Dropbox, and 15 other companies use to measure AI impact.| newsletter.getdx.com
Twilio’s Jesse Adametz shares lessons on unifying tech stacks, platform adoption, developer experience, and a pragmatic approach to AI.| Engineering Enablement
Data from DX shows that engineers who use AI daily reach onboarding milestones nearly twice as fast as non-users.| newsletter.getdx.com
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
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
A randomized trial at Google estimates a 21% speed boost from AI coding tools.| 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
