In this conversation, Ankit Jain speaks with Kaelig about the intricacies of developer experience (DevEx) and design systems, comparing the dynamics in large organizations like Shopify to smaller ones like Netlify. They explore the definition and ownership of design systems, the importance of measuring maturity, and the common pitfalls teams face when building these systems. Kaelig shares insights on how to convince leadership of the value of design systems and discusses the future of developer experience, particularly with the rise of AI tools.

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In this episode, Ankit Jain and Jesse Adametz discuss developer platforms (DevEx) and internal developer portals (IDPs). They explore the distinction between portals and platforms, with portals being a UI on top of a spreadsheet-like catalog of services and platforms being more tied into the infrastructure. They also discuss the importance of standardization in IDPs and the challenges of maintaining up-to-date information. 

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Summary

In this conversation, Vilas shares his insights on how different companies handle DevEx and the challenges they face. He emphasizes the importance of measuring the impact of DevEx from the customer's perspective and tying it to business outcomes. Vilas also discusses the role of platform engineering and the need for clear ownership and responsibilities. He suggests conducting exercises to identify and prioritize pain points in the developer experience and using customer metrics to drive investment in DevEx. Vilas highlights the significance of having practitioners in DevEx teams and the value of tools like ARGO and Maven.

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Summary

In this conversation, Ankit Jain interviews Nathan Harvey, the leader of DORA at Google Cloud, about the evolution and use of DORA metrics in software delivery and operations. The conversation covers the history of DORA, the design of surveys, the four key metrics for software delivery performance (lead time for changes, deployment frequency, change fail rate, and failed deployment recovery time), and the role of AI in software development. They also discuss the importance of security and compliance when adopting AI and the interplay between DORA metrics and internal surveys within organizations.

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In this podcast episode, Cody Ray, a Senior Engineering Manager at Confluent discusses the evolution of developer productivity and platform engineering at Confluent. He shares how his team has grown and the scaling challenges they faced. Cody explains the concept of service runtimes and how they provide a structured framework for developers to create new services.

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In this conversation, Jasmeet Singh, from HashiCorp, discusses developer productivity and experience. He explains that developer productivity roles can vary across companies and encompass tasks such as CI/CD, DevOps, observability, etc.

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In this conversation, Kent Wills, Head of Developer Productivity at Yelp, discusses engineering effectiveness and ownership at Yelp. He shares the journey of Yelp's engineering organization and the challenges they faced with a monolithic codebase. Kent explains how they transitioned to a service-oriented architecture and the benefits it brought in terms of code ownership and productivity. 

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In this conversation, Tara Hernandez and Stacey King Poling discuss their roles in developer productivity at MongoDB and the challenges they face. They talk about the structure of their teams, the variety in build and release processes, and the importance of metrics in measuring productivity. They also emphasize the need to consider context when analyzing metrics and the potential pitfalls of certain measurements.

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Max Kanat-Alexander, a technical lead for developer productivity and happiness at LinkedIn, discusses the concept of Developer Productivity and Happiness (DPH) and the framework created by LinkedIn. He emphasizes the importance of both productivity and happiness in the workplace and how they are interconnected. Max also highlights the potential conflicts between productivity and happiness and the need to understand and measure both effectively.

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In this conversation, Eric from Asana discusses the importance of understanding the product engineer experience and the value of shadowing them to identify pain points. He explains how Asana thinks about platform engineering and the challenges they face in maintaining state with tools like Bazel. Eric also shares the key metrics they focus on for developer experience, such as cycle time and local iteration time.

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