Engineering Enablement by Abi Noda DX

In this week's episode, Abi is joined by industry leaders Idan Gazit from GitHub, Anna Sulkina from Airbnb, and Alix Melchy from Jumio. Together, they discuss the impact of GenAI tools on developer productivity, exploring challenges in measurement and enhancement. They delve into AI's evolving role in engineering, from overcoming friction points to exploring real-world applications and the future of technology. Gain insights into how AI-driven chat assistants are reshaping workflows and the vision for coding.
Links: How to measure GenAI adoption and impact

In this week's episode, Abi welcomes Jared Wolinsky, Vice President of Platform Engineering at SiriusXM, to delve into the inner workings of platform engineering at SiriusXM. Jared sheds light on their innovative approach to prioritizing projects, emphasizing alignment with overarching business goals. They explore how these strategies boost developer speed and drive technological advancement within the organization.
Links: When is the right time to establish a DevProd team report

In this episode, Michelle Swartz, Vice president of Developer Enablement American Express, shares insights on improving developer experience. She discusses the creation of an onboarding bootcamp and the development of the AmEx Way Library for better knowledge management. Michelle explains how AmEx balances standardization and flexibility with the concept of Paved Roads. She also highlights the importance of measuring success, fostering community, and elevating the company's tech credibility.
Mentions and links
GenAI Guide

This week’s episode is a recording from a recent event hosted by Abi Noda (CEO of DX) and Laura Tacho (CTO at DX). The episode begins with an overview of the DORA, SPACE, and DevEx frameworks, including where they overlap and common misconceptions about each. Laura and Abi discuss the advantages and drawbacks of each framework, then discuss how to choose which framework to use.

Discussion points:
2:50- DORA, SPACE, DevEx overview10:35- Choosing which framework to use13:15- Using DORA22:42-Using SPACEMentions and Links: 
Dora.dev

In this week's episode, we welcome Derek DeBellis, lead researcher on Google's DORA team, for a deep dive into the science and methodology behind DORA's research. We explore Derek's background, his role at Google, and how DORA intersects with other research disciplines. Derek takes us through DORA's research process step by step, from defining outcomes and factors to survey design, analysis, and structural equation modeling.
Discussion points:
(3:00) Derek’s transition from Microsoft to the DORA team at Google(4:28) Derek talks about his connection to surveys(6:16) Derek’s journey to becoming a quantitative user experience researcher(7:48) Derek simplifies DORA(8:19) DORA - Philosophy vs practice(11:09) Understanding desired outcomes(12:45) Self reported outcomes vs objective outcomes(16:16) Derek and Abi discuss the nuances of literature review(19:57) Derek details survey development(27:55) Pretesting issues(29:30) Designing surveys for other companies(35:02) Derek simplifies model analysis and validation techniques(38:48) Benchmarks: Balancing data limitations with method sensitivityMentions and Links:
Derek DeBellis on LinkedInDX’s guide to measuring GenAI adoption and impact2023 Accelerate State of DevOps Report

This week we’re joined by Sean Mcllroy from Slack’s Release Engineering team to learn about how they’ve fully automated their deployment process. This conversation covers Slack’s original release process, key changes Sean’s team has made, and the latest challenges they’re working on today. 
Discussion points:
(1:34): The Release Engineering team(2:13): How the monolith has served Slack (3:24): How the deployment process used to work (6:23): The complexity of the deploy itself(7:39): Early ideas for improving the deployment process(9:07): Why anomaly detection is challenging(10:32): What a Z-score is(13:23): Managing noise with Z-scores(16:49): Presenting this information to people that need it(19:54): Taking humans out of the process(23:13): Handling rollbacks(25:27): Not overloading developers with information(28:26): Handling large deploymentsMentions and links:
Read Sean’s blog post, The Scary Thing About DeploysFollow Sean on LinkedIn