Engineering Enablement by Abi Noda

In this episode, Brian Houck, Applied Scientist, Developer Productivity at Microsoft, covers SPACE, DORA, and some specific metrics the developer productivity research team is finding useful. The conversation starts by comparing DORA and SPACE. Brian explains why activity metrics were included in the SPACE framework, then dives into one metric in particular: pull request throughput. Brian also describes another metric Microsoft is finding useful, and gives a preview into where his research is heading. Mentions and linksConnect with Brian on LinkedInThe SPACE of Developer Productivity: There's More to It Than You ThinkMeasuring developer productivity with the DX Core 4DevEx in actionDORA, SPACE, and DevEx: Which framework should you use?Discussion points(0:48) SPACE framework's growth and adoption(3:47) Comparing DORA and SPACE(6:30) SPACE misconceptions and common implementation challenges(9:34) Whether PR throughput is useful  (15:13) Real-world example of using PR throughput (21:33) Talking about metrics like PR throughput internally (24:39) Where Brian’s research is heading 

Click here to view the episode transcript. In this episode, Snowflake’s Gilad Turbahn, Head of Developer Productivity, and Amy Yuan, Director of Engineering, dive into how they elevated developer productivity to a top company priority. They discuss the pivotal role of Snowflake’s CTO, who personally invested over half his time to guide the initiative, and how leadership's hands-on involvement secured buy-in across teams. The conversation also explores the importance of collaboration between engineering and product management, and how measuring user sentiment helped them deliver meaningful, long-lasting improvements.Mentions and linksConnect with Gilad and Amy on LinkedInMeasuring developer productivity with the DX Core 4Discussion Points(0:48) The need for a shift at Snowflake(3:59) Leadership involvement and prioritization of developer productivity(8:56) The partnership between engineering and product managers(20:01) From feature factory to customer outcome-focused development(27:36) Shifting measurement focus to user sentiment and customer outcomes(39:13) Gaining buy-in for sentiment metrics and tying them to business impact(51:11) How Snowflake’s CTO and volunteers accelerated developer productivity improvements.

Click here to view the episode transcript. In this episode, Emanuel Mueller Ramos, Head of Developer Experience at Skyscanner, discusses the evolution of his team as they transitioned from focusing on frameworks and middleware to becoming a customer-centric, impact-driven organization. Emanuel details the strategies he used to gain stakeholder buy-in, why it's crucial to rethink traditional productivity metrics, and how they made a cultural shift to prioritize developer happiness and effectiveness. This conversation highlights the steps necessary to build a developer experience function that delivers meaningful impact.Mentions and links:Follow Emanuel on LinkedInMeasuring developer productivity with the DX Core 4Discussion points:(1:14) The beginning of Skyscanner's developer productivity division(3:53) Gaining stakeholder buy-in and refocusing the teams(5:57) Redefining success metrics for developer productivity(8:57) Pitching the developer experience focus to leadership(17:26) Moving from frameworks to feedback loops(20:45) Fostering a customer-centric culture(23:20) Defining the collaboration between platform and developer experience teams(26:41) Choosing the right metrics for developer experience success (31:31) Risks and challenges ahead

Click here to view the episode transcript. 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 impactTimestamps:(2:58) Challenges of Measuring AI Productivity(6:02) Use cases for GenAI within the Airbnb developer organization(10:26) GitHub’s process for developing and testing new GenAI tools for developers(12:42) Driving GenAI adoption strategies at Airbnb(14:20) Research impact and productivity gains with GenAI tools at Airbnb(17:03) Copilot use cases surveyed among Jumio's developers(18:46) Challenges measuring impact of AI products at GitHub(21:33) Biggest gains of GenAI usage at Airbnb(24:19) Future opportunities in GenAI(30:31) Challenges in GenAI for developers