Today's guest is Dominika Rogala, former VP of Engineering and now advisor for CTOs and tech leaders. With Dominika, we talked about burnout in engineering teams, on which she did a lot of research. She started from the various dimensions of burnout, which spoiler alert is different from simply being tired, and then we looked at the problem from a systemic angle, so how can you improve your team and processes to avoid people to burnout. And finally, we also talked about AI and how to make it a net positive for your team resources, without also incontrollably inflating expectations(00:00) Episode start(03:50) Introducing Dominika Rogala(04:26) The four dimensions of burnout(07:06) Exhaustion vs being tired(11:19) How to spot burnout in yourself(13:43) The identity gap(27:53) Burnout as a systemic problem(17:28) The job demands-resources model(36:19) Early warning signs: cynicism and quality drops(43:08) What individuals can do inside a broken system(49:42) AI as both a resource and a new demandShow notes.• LeadDev talk recording: https://leaddev.com/management/four-dimensions-of-burnout-an-anti-burnout-framework-for-the-ai-era • Self-check, anti-burnout worksheet, reading list, and a micro-regulation toolkit: goodjob.coffee/ldx3• Dominika's LinkedIn profile https://www.linkedin.com/in/dominikarogala/ -Today's episode is brought to you by Notion.Learn more about Notion’s Developer Platform today at https://ntn.so/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 guest is Charlie Guo, developer experience engineer at OpenAI.

With Charlie, we explore the evolution of AI coding tools, how this is affecting team organization, and the future of AI integration in software development. Charlie shared strategies and tricks to leverage AI effectively, and how this is all transforming the workflows that we all know and love.

(00:00) Episode start

(01:20) Introducing Charlie Guo

(02:31) Inside the Codex team

(03:49) Sponsor break

(05:35) The philosophy behind Codex

(09:19) From CLI to desktop app

(12:29) The m.google.com of AI

(17:28) Are MCPs here to stay?

(21:58) Sharing AI workflows across teams

(24:56) Generalists vs specialists: converging roles

(33:22) Deterministic guardrails for coding agents

(39:02) Using Codex as a personal knowledge base

(46:01) Design with the image model first

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Today's episode is brought to you by Notion.

Learn more about Notion’s Developer Platform today at https://ntn.so/refactoring

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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

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For inquiries about sponsoring the podcast, or appearing as a guest, email: luca@refactoring.club

Today's guest is Anush Elangovan, VP of AI Software at AMD. With Anush, we talked about how he thinks about open source as a key strategic driver in the AI era, and how his team is able to stay super fast while ensuring quality by combining their internal work with their external contributions.And then we got into a rabbit hole about how to get big companies ready for AI, how to think about human capital, and how Anush personally spends his time. And spoiler alert, he is back to doing IC work for up to 40% of his time.(00:00) Episode start(01:31) Introducing Anush Elangovan(01:39) AMD's open-source AI stack(04:08) Sponsor break(05:34) How AI contributions are reshaping open-source maintenance(08:33) From demo to production: the quality gates funnel(11:10) When agents game the system(17:10) Speed as a moat: the open-source flywheel(20:31) Agent-first development: what it really looks like(23:56) AI cleanup: getting legacy code ready for agents(28:24) The excavator analogy(31:08) The new engineers(34:12) VP doing IC work(43:28) Open-weight models, AI as electricity, and what's next-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 https://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

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For inquiries about sponsoring the podcast, or appearing as a guest, email: luca@refactoring.club