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by Luca Rossi
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Today's guest is Doug Peete, Chief Product Officer at Atono, with whom over the last few months we have developed a deep industry report about the state of product development.In this chat we'll go through the main findings of the report, match them to our respective experience and explore ideas about how teams can do better with product development and AI Episode start Introduction Sponsor break Frailty of planning process Product What needs to be done Design reviews How to improve requirements Knowledge across teams Capturing the history of a product Enabling sharing process New metrics in AI era AI in product requirements and products specs-Today's episode is brought to you by Unblocked.Unblocked is the context layer for modern engineering teams.Get a free three-week trial at getunblocked.com/refactoring-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: luca@refactoring.club
Today's guests, plural, are Jean Hsu and Cate Huston.They're both extremely experienced engineering leaders and coaches, accomplished authors, and have held leadership roles at companies like Duck.co, Automattic, Medium and more. And are now running a program to help engineers and managers become, in their own words, directly responsible individuals of their careers to navigate these complicated times, to say the least. So with Jean and Cate, we talked about exploring what you want from your career, how to be intentional about it, how to use feedback to assess how you're doing, and how AI is changing and not changing the picture. Introduction Dealing with adverse conditions Sponsor break DRI your career and coaching Career's approach Figuring out your goal: Luca's example Coaching for EMs vs coaching for ICs Moving forward in your daily job Feedbacks and culture of appreciation Does AI change how do you think about your career? AI pressure and AI passion—Today’s sponsor is Intent by Augment. Intent is a developer workspace built for orchestrating agents: it starts with the living spec that updates as agents make progress, so every task stays aligned with no manual coordination. Try it for yourself at https://www.augmentcode.com/product/intent—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: luca@refactoring.club
Today's guest is Stuart Caborn, distinguished engineer at loveholidays, which is an online travel agency with millions of customers around the world.I'm talking with Stuart because his team is doing AI coding for real.They operate an extremely complex product and technology, with each engineer deploying to production more than 80 times a month, with more than 60% of production code being written with AI, all while maintaining an absolutely elite change failure rate under 1%, and with perfect code health.So, let's see how they pull this off. Introduction What it loveholidays? Sponsor break loveholidays' AI approach Code quality Making quality visible AI, MCP and top use cases Code health and engineers' happiness How was AI implemented at loveholidays Experimenting with AI and skills How to spread AI into an org Guardrails in dev process Other process changes—Today’s sponsor is Intent by Augment. Intent is a developer workspace built for orchestrating agents: it starts with the living spec that updates as agents make progress, so every task stays aligned with no manual coordination. Try it for yourself at https://www.augmentcode.com/product/intent—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: luca@refactoring.club
Today’s guest is Chris Lattner, one of the most important engineers for modern computing. Chris invented key compiler infrastructure tech like LLVM and MLIR, but he’s also the inventor of the Swift language, a key contributor in bringing Google TPUs to market, and a lot more. Today he’s the founder and CEO of Modular, where he’s reinventing AI infrastructure to make software portable across GPUs and platforms.So with Chris, we talked about his vision for AI and computing. We talked about how Modular’s mission makes us closer to a future where AI is open and portable. And we talked about open source, how AI is both empowering and straining contributors, how it’s changing intellectual property, and what workflows we need to change as engineers.And finally, we discussed how AI is changing software craftsmanship, how he’s bullish about junior engineers, and a lot more. Preview Introduction What is Modular? Sponsor break From CPU to GPU landscape Objective-C Swift analogy What is Modular for Chris? The love for building Chris' view on AI future AI and open source Figuring out new workflows On licenses and copyright High quality software Coding faster with AI The landscape of junior engineers AI amplifies the good and the bad Modular ceremonies Tech debt—Today’s sponsor is Intent by Augment. Intent is a developer workspace built for orchestrating agents: it starts with the living spec that updates as agents make progress, so every task stays aligned with no manual coordination. Try it for yourself at https://www.augmentcode.com/product/intent—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: luca@refactoring.club
Today's guest is Amelia Wattenberger, former principal research engineer at GitHub and now partner at Sutter Hill Ventures.But she's also a product lead at Augment Code, where she developed Intent, a developer workspace for orchestrating AI coding agents and delivering complex work. So this is a fascinating chat into the future and the present of software development with someone who has clearly been at the very frontier of this for many years. Preview Introduction What is "Intent"? Splitting agents for best performance Spec and subtasks Decision and generation Features, opinion and abstractions The note system Attitude is reflected in approach Engineers in the new era of crafting Managing skills applied to an agent environment Orchestrating agents The future of deep specialists—Today’s sponsor is Intent by Augment. Intent is a developer workspace built for orchestrating agents: it starts with the living spec that updates as agents make progress, so every task stays aligned with no manual coordination. Try it for yourself at https://www.augmentcode.com/product/intent—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: luca@refactoring.club
Today's guest is Richard Hughes-Jones, a professional executive coach with more than 20 years of experience. With Richard, we talked about how to coach tech leaders through uncertainty and everything that's going on with AI, how to navigate it, how we should think about our role, and what it means to step outside of the framework.We also explored how to leverage AI for coaching, how to blend human and AI advice to get the best of both worlds. Preview Introduction Richard's journey into coaching Sponsor break Coaching without engineering background Most common challenges Helping people in uncertainty Good for the team Vs Good for the business Are frameworks limiting? Creating a personal framework Am I trying to be the hero? Usual questions AI and coachingLink to article mentioned in the interview: https://richardhughesjones.substack.com/p/052-special-edition-what-i-learned—Today’s sponsor is Intent by Augment. Intent is a developer workspace built for orchestrating agents: it starts with the living spec that updates as agents make progress, so every task stays aligned with no manual coordination. Try it for yourself at https://www.augmentcode.com/product/intent—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: luca@refactoring.club
Today's guest is Austen McDonald, former hiring committee chair at Meta, and author of the book, "Mastering Behavioral Interviews." Austen, in his career, conducted more than 1,000 interviews and coached more than 200 engineers, and is here today to tell us everything about why behavioral interviews are more important than ever and how to run them right, as a candidate and as a recruiter. Preview Introduction Austen' interest in behavioral interviews Sponsor break Behavioral interviews as a senior or a junior engineer The question behind a question: signal areas Fails in behavioral interviews Decode, select, deliver The eight areas How company culture reflects in hiring Assessing company's culture as a candidate The big three questions Preparing for the big three questions Deliver a story Good preparation process Do not lie Recruiter side: biases Candidate experience with AI: value questions—Today’s sponsor is Intent by Augment. Intent is a developer workspace built for orchestrating agents: it starts with the living spec that updates as agents make progress, so every task stays aligned with no manual coordination. Try it for yourself at https://www.augmentcode.com/product/intent—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: luca@refactoring.club
Today's guest is Paige Bailey, Developer Relations Lead at Google DeepMind. And before that, Principal Product Manager at GitHub, where she launched Copilot and several other AI products.With Paige, we went through a quick demo of how to build and deploy a fully functioning application just with your voice, one that includes accessing your camera, manipulating pictures, and having AI doing a live interview with you to fill out your profile. So this is a bit different episode than usual, so I encourage you to check out the full video, where Paige shares her screen and goes through all the steps.And we also talked about what's coming about AI, how engineers should think about their work, and how the Google DeepMind team is changing with all roles, basically converging to one. So let's dive right into the action. Preview Introduction The best era for software engineers Navigating AI tools AI Studio Build demo Choosing the right AI model Prompts and intuition Antigravity demo Delegating and working with AI AI at team level Changes in product development teams Next stages in working with AI Rethink software engineering—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: luca@refactoring.club
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