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Measuring and Improving Developer Experience 📊 — with Abi Noda
Today's guest is Abi Noda, the CEO and founder of DX, one of the leading engineering intelligence platforms.With Abi, we talked about measuring developer experience. We started with the early days of Accelerate and why we feel like most people got the book wrong. And then we continued to present days and how research focuses on driving great developer experience. And finally, we couldn't avoid talking about AI and why it seems to be a game changer for entrepreneurs, but not so much for teams yet.01:23 Introduction02:45 Abi's journey in tech08:19 The four key metrics10:41 Metrics' reliability13:41 Diagnostic metrics16:06 A metric analogy18:23 Find productivy metrics drive22:03 What makes a developer experience good?29:44 The importance of comparison31:53 Common issues in developer experience34:55 Are meetings bad?36:16 AI in development process—This episode is brought to you by https://sleuth.io—You can also find this at:• 📬 Newsletter: https://refactoring.fm• 🎧 Spotify: https://open.spotify.com/show/7Luds9dmzZDoDC8Q7EMbSw• 📱 Apple: https://podcasts.apple.com/us/podcast/refactoring-podcast/id1719137305—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
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42:58
Open-source, complexity & AI coding 🔧 — with Salvatore "Antirez" Sanfilippo
Today's guest is Salvatore Sanfilippo, also known as Antirez!Salvatore is the creator of Redis, an open source data store used by hundreds of thousands of developers across the world. And he's also a writer. He published the popular sci-fi novel called Wohpe, which anticipated a lot of what is happening today with AI.With Salvatore, we talked about open source — what makes a project successful and how to make it successful for its maintainers. Then we discussed how Salvatore uses AI for extremely complex coding, which makes him 5x faster than without AI. And finally, I asked him about his writing work and what is the experience of writing a novel versus a software project.02:55 Introduction06:47 Salvatore's life priorities12:40 Develop an open source project in 2025 18:14 Being a generalist with AI support19:25 Making an open source project sustainable23:54 Complexity of modern front-end development24:58 Big Tech, complexity and open source30:19 Escaping the complexity loop33:40 The rebirth of fullstack through AI34:53 How Salvatore creates code with AI41:16 Does AI increase code productivity?44:14 The importance of the right prompt47:06 Writing tests in the AI era of development50:49 Whope, Salvatore's sci-fi novel53:28 Writing a novel and writing code—This episode is brought to you by https://workos.com—Some show notes:• Salvatore's website: https://antirez.com/• Salvatore's Youtube: / @antirez • Wohpe: / wohpe —You can also find this at:📬 Newsletter: https://refactoring.fm🎧 Spotify: https://open.spotify.com/show/7Luds9d...📱 Apple: https://podcasts.apple.com/us/podcast...—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
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57:09
How to Coach CTOs 👑 — with Joel Chippindale
Today's guest is Joel Chippindale!Joel is a full-time CTO Coach and one of the coaches-in-residence in the Refactoring community, where he runs monthly mastermind sessions and other community events.So with Joel, we dived into what coaching is, the difference with mentoring, one-on-one versus group coaching, and what are the top challenges that CTO faces today, based on the work that Joel does with his coaches.02:34 Introduction03:40 Joel's journey in tech05:21 Finding a definition of coaching07:25 Mentoring and coaching roles10:22 One-to-on and group coaching12:53 The "hows" of coaching15:12 Is coaching a widespread practice?18:35 Top CTOs challenges21:43 Right support for right challenges26:08 Advocating for technical work31:53 Commonalities and uniquenesses in CTOs challenges34:20 The platonic ideal of CTO36:49 Choosing what to focus on39:48 How to delegate properly—This episode is brought to you by https://workos.com—You can also find this at:- 📬 Newsletter: https://refactoring.fm- 📱 YouTube: https://youtu.be/HgKAg1rtQoE—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
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44:38
The Future of Creative Organizations ✏️ — with Dan Shipper
Today's guest is Dan Shipper!Dan is the CEO and founder of Every, which is one of the world's most popular publications, writing about AI and our relationship with technology. And Dan is one of my heroes. His newsletter was the first I ever paid for on Substack, and single-handedly inspired me to start Refactoring. But he doesn't know. I will tell him during the interview and you will see what he says. So with Dan, we'll talk about the boundaries blurring between product development and content creation, the role of generalists, entrepreneurs, and how his team builds software with AI. And spoiler alert, AI writes 90% of their code.03:08 Introduction06:42 Every and Dan's journey in tech12:56 From writer to CEO16:20 The importance of delegating18:01 What you want vs what people want21:06 Stick to yourself24:38 Playing the long game27:02 AI and content creation31:05 Approaching the use of AI36:29 Finding new workflows with AI39:03 More an AI generated code40:35 A new skillset for engineers42:44 More on the new engineering role44:45 The next AI assisted leaps—This episode is brought to you by https://workos.com—You can also find this at:- 📬 Newsletter: https://refactoring.fm- 📱 YouTube: https://youtu.be/HgKAg1rtQoE—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
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48:27
Combining AI and Human Work 🤖 — with Marco Trombetti
Today's guest is Marco Trombetti!Marco is the CEO and founder of Translated, one of the largest translation companies in the world, powering translations for the likes of Airbnb, Uber, Skyscanner, and more.Translated is also an AI pioneer. It has developed its own models for more than 20 years and has recently released the most advanced translation LLM in the world.With Marco, we talked about the future of AI, combining AI and human work and the role of regulation. This is also the first interview we ever did in person. But as you will see and hear, I was recovering from a bad cough and had a bit of a low voice, hope you don't mind.(00:03:26) Introduction(00:05:45) The history of Translated(00:09:51) The use of transformers(00:12:47) Lara: the most advanced translation AI(00:17:51) The next step in AI models(00:24:01) The "Lara gap"(00:28:50) The real cost of training Lara(00:32:39) AI impact on human work in translation(00:41:16) Applying the Translated model in other fields(00:45:21) Concerns in AI applications(00:53:51) More on AI regulation(00:56:15) The state of AI startups(00:59:25) Understanding the AI game(01:03:31) AI and regular jobs—This episode is brought to you by https://workos.com—You can also find this at:- 📬 Newsletter: https://refactoring.fm- 📱 YouTube: https://youtu.be/HgKAg1rtQoE—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
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