Engineering Enablement by DX

In this special episode of Engineering Enablement, I welcome back Jesse Adametz, this time as host. 

In our conversation, we explore how AI is showing up across the SDLC, not just in code generation, and how it is shifting bottlenecks across the development process. We unpack what “AI readiness” actually means in practice, and why it often comes down to developer experience fundamentals like documentation, environments, and feedback...

Developer productivity is often treated as a tooling problem or a sentiment problem. In reality, it’s neither. It’s a socio-technical systems problem that spans engineering foundations, leadership alignment, organizational design, and culture.

In this episode, I’m joined by Uma Namasivayam, Senior Director, Engineering Productivity at Dropbox, to explore how Dropbox approaches developer experience at scale. We talk about why product...

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As we close out 2025, I wanted to step back and take stock of what we have actually learned about AI adoption in engineering organizations. Not just where usage has increased, but where impact is real, where it is overstated, and what questions remain unanswered.

In this special year-end episode, I’m joined by Brian Houck from Microsoft, Collin Green and Ciera Jaspan from Google, a...

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AI engineering tools are evolving fast. Every month brings new coding assistants, debugging agents, and automation capabilities. I want to help engineering leaders take advantage of that innovation while avoiding costly experiments that distract from real product work.

In this episode, Abi Noda and I share a practical, data-driven approach to evaluating AI tools. I walk through how...

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In this episode of Engineering Enablement, I sit down with Nathen Harvey, who leads research at DORA, to explore how teams should really think about measuring the impact of AI. We talk about why traditional delivery metrics can give leaders a false sense of confidence and how AI acts as an amplifier, accelerating healthy systems while intensifying existing friction and failure.

We ...

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In this episode of Engineering Enablement, I talk with Fabien Deshayes, who leads multiple platform engineering teams at Monzo Bank. Fabien shares how Monzo is adopting AI responsibly within a highly regulated industry, balancing innovation with control, structure, and strong data-driven decision-making.

We discuss how Monzo runs structured AI trials, measures adoption and satisfac...

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In this webinar, Abi Noda and I explore how engineering leaders can plan their 2026 AI budgets amid rapid change and rising costs. Using data from DX’s recent poll and industry benchmarks, we break down how much to spend per developer, how to allocate budgets across tools, and how to balance innovation with cost control.

We also discuss practical strategies for building a multi-ven...

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Today, I am joined once again by our CTO, Laura Tacho, to explore how the role of Platform and DevProd teams is evolving in the AI era. We discuss why evaluating and rolling out AI tools is now a core responsibility, how measurement frameworks must change, and why fundamentals like documentation and feedback loops matter more than ever for both developers and AI agents. We also di...

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Jesse Adametz is a Senior Engineering Leader on the Developer Platform at Twilio, where he’s leading a multi-year effort to unify tech stacks across major acquisitions. I’m joined by him today to talk about the realities of platform adoption and migration, the challenges of Kubernetes, and why mandates don’t work when you’re bringing together strong engineering cultures. We also d...

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In this episode, I talk with Bruno Passos, Product Lead for Developer Experience at Booking.com, about how the company is rolling out AI tools across a 3,000-person engineering team.

Bruno shares how Booking.com set ambitious innovation goals, why cultural change mattered as much as technology, and the education practices that turned hesitant developers into daily users. We also di...

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In this episode of Engineering Enablement, DX CEO Abi Noda and I share practical guidance for measuring developer productivity in the AI era using our AI Measurement Framework. Based on research with industry leaders, vendors, and hundreds of organizations, we walk through how to cut through the hype and make informed decisions about AI adoption.

We talk about which fundamentals of...

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In this episode, we cover:

(00:00) Intro: Laura’s keynote from LDX3

(01:44) The problem with asking how much faster can we go with AI?

(03:02) How the disappointment gap creates barriers to AI adoption

(06:20) What AI adoption looks like at top-performing organizations

(07:53) What leaders must do to turn AI into meaningful impact

(10:50) Why building better software with AI still depen...

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In this episode, we cover:

In this episode, I’m joined by Quentin Anthony, Head of Model Training at Zyphra and a participant in METR’s recent study on AI coding tools. We explore the study’s unexpected findings—why developers often felt more productive using AI, but in many cases weren’t—and unpack the nuances of where these tools actually add value. Quentin offers practical, expe...

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In today’s episode, I caught up with Frank Fodera from CarGurus to hear how his team tackled two massive challenges: breaking up a monolith and rolling out AI tools across the engineering org. Frank shared how they built their internal developer portal, Showroom, from scratch—why they didn’t buy a tool like Backstage, how it supports their dev teams, and how they tie it all back t...

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In this episode, I talk with Gilad Turbahn, Head of Developer Productivity, and Amy Yuan, Director of Engineering at Snowflake, about how they approach operational excellence. We dig into how they build trust with engineering teams, the communication rhythms that keep their org aligned, and how they treat internal teams like customers. Gilad and Amy also share how Snowflake uses r...

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In this episode, I’m joined by DX CTO Laura Tacho to talk about what’s really holding back AI adoption in engineering teams. It’s not the technical challenges—it’s fear, unclear expectations, and the disconnect between hype and reality. Laura shares practical strategies for making progress, from modeling usage at the leadership level to creating space for experimentation. We also ...

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DORA just released a new report on the impact of generative AI on software development productivity, and the findings were a mix of expected and surprising.

On today’s episode, I’m joined once again by Derek DeBellis, lead researcher on Google’s DORA team, to break down the key insights. We talk about how the survey was developed, why measuring productivity is so complex, and what ...

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In today’s episode, I’m joined by Laura Tacho, CTO at DX, engineering leadership coach, and creator of the Core 4 framework.

We discuss why many frameworks—such as SPACE, DORA, and even Core 4—can go awry when teams focus on the wrong metrics. We explain how to get started with Core 4 by anchoring on controllable inputs rather than arbitrary targets. Whether you're just beginning w...

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Brian Houck from Microsoft returns to discuss effective strategies for driving AI adoption among software development teams. Brian shares his insights into why the immense hype around AI often serves as a barrier rather than a facilitator for adoption, citing skepticism and inflated expectations among developers. He highlights the most effective approaches, including leadership ad...