episode-header-image

Jan 2025

31m 56s

Rethinking developer experience at T-Mob...

About this episode

Chris Chandler is a Senior Member of the Technical Staff for Developer Productivity at T-Mobile. Chris has led several major initiatives to improve developer experience including their internal developer portal, Starter Kits (a patented developer platform that predates Backstage), and Workforce Transformation Bootcamps for onboarding developers faster.

Mentions and links:

Follow Chris on LinkedIn
Measuring developer productivity with the DX Core 4
Listen to Decoder with Nilay Patel.

Discussion points:

(0:47) From developer experience to developer productivity
(7:03) Getting executive buy-in for developer productivity initiatives
(13:54) What Chris’s team is responsible for
(17:02) How they’ve built relationships with other teams
(20:57) How they built and got funding for Dev Console and Starter Kits
(27:23) Homegrown solution vs Backstage

Up next

Measuring AI code assistants and agents with the AI Measurement Framework

In this episode of Engineering Enablement, DX CTO Laura Tacho and CEO Abi Noda break down how to measure developer productivity in the age of AI using DX’s AI Measurement Framework. Drawing on research with industry leaders, vendors, and hundreds of organizations, they explain ho ... Show More

How to cut through the hype and measure AI’s real impact (Live from LeadDev London)

In this special episode of the Engineering Enablement podcast, recorded live at LeadDev London, DX CTO Laura Tacho explores the growing gap between AI headlines and the reality inside engineering teams—and what leaders can do to close it.Laura shares data from nearly 39,000 devel ... Show More

Unpacking METR’s findings: Does AI slow developers down?

In this episode of the Engineering Enablement podcast, host Abi Noda is joined by Quentin Anthony, Head of Model Training at Zyphra and a contributor at EleutherAI. Quentin participated in METR’s recent study on AI coding tools, which revealed that developers often slowed down wh ... Show More

Recommended Episodes

Making Sense of Agentic AI | ThoughtWorks Birgitta Boeckeler

There’s AI agents. There’s AI tooling. Do either drive business impact or are they just more things your dev team is supposed to stay on top of? Birgitta Boeckeler, Global Lead for AI Assisted Software Delivery at ThoughtWorks, joins the show to discuss the practical applications ... Show More

Now is the time to rethink engineering productivity

Are your teams feeling the intense pressure to "produce more" in an era increasingly dominated by AI?Join hosts Ben Lloyd Pearson and Dan Lines as they unpack a major shift in how engineering organizations must now approach productivity. Dan reveals the urgent challenges he hears ... Show More

Zoom CTO Xuedong "XD" Huang on How AI Revolutionizes Productivity - Ep. 235

Zoom, a company that helped change the way people work during the COVID-19 pandemic, is continuing to reimagine the future of work by transforming itself into an AI-first communications and productivity platform. In this episode of NVIDIA’s AI Podcast, Zoom CTO Xuedong (XD) Huang ... Show More

38: Are we vastly underestimating AI? with Dwarkesh Patel

A couple hundred people in San Francisco may be on the cusp of inventing artificial general intelligence (AGI). Yet most people are not paying close attention, are skeptical, and are certainly not in the room. Dwarkesh pulls back the curtain so that the broader public can underst ... Show More

841: Andrew Ng on AI Vision, Agents and Business Value

In this special episode recorded live at ScaleUp:AI in New York, Jon Krohn speaks to Andrew Ng in response to his conference talk on smart agentic AI workflows. Jon follows up with Andrew about smart agentic workflows and when to use them, how businesses should direct their effor ... Show More

Metrics Driven Development

How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” ... Show More

Where AI Is Right Now: 15 Charts in 15 Minutes

In today’s episode, we take a rapid-fire tour through 15(ish) charts that capture the current state of artificial intelligence across consumer use, enterprise adoption, agents, and infrastructure. From skyrocketing usage metrics and token consumption to the rise of agentic workfl ... Show More

Measuring The Speed of AI Through Benchmarks

David Kanter, Executive Director at MLCommons, discusses the work they’re doing with MLPerf Benchmarks, creating the world’s first industry standard approach to measuring AI speed and safety. He also shares ways they’re testing AI and LLMs for harm, to measure—and, over time, red ... Show More

#224 Bret Taylor: A Vision for AI’s Next Frontier

What happens when one of the most legendary minds in tech delves deep into the real workings of modern AI? A 2-hour long masterclass that you don’t want to miss. Bret Taylor, current chairman of OpenAI, unpacks why AI is transforming software engineering forever, how founders can ... Show More

What You Need to Know About AI to Use it Effectively

Do you need to understand backpropagation, K-means clustering, or hyperparameter tuning to lead an AI transformation in your business? Probably not. So, what should you focus on instead? In this episode, David DeWolf and Mohan Rao explore how to think strategically about AI adopt ... Show More

Listen to millions of songs and podcasts on Anghami