Refactoring Podcast

Today's guest is Rahul Raina, co-founder of TRM Labs, which is a YC-backed company that works on solutions and products for security, fighting criminal networks, AI attackers, and more. 

With Rahul, we had a great chat that covered a lot of ground, starting with the tough reality of cyber defense today, and why attackers by default always have the upper hand when AI and technology improves. And then we moved to a deep dive into how the TRM team works and how they rebuild their whole product development workflow for AI, including reshuffling all the technical roles, compressing the developer process steps, and creating dedicated artifacts for human reviews.

(00:00) Episode start
(03:50) Introducing Rahul Raina
(04:08) Why AI widens the gap between attackers and defenders
(08:54) The asymmetry: attackers don't play by the rules
(17:09) Inner loop vs outer loop: where the real bottleneck is
(20:54) Redesigning the shipping framework around jobs, not roles
(24:18) How to transition people: go slow before you go fast
(34:24) What to hire for: problem solving, agency, humble craft
(42:14) How builders review work: human-readable artifacts, not code
(46:59) The harness interviews you: AI asks questions humans wouldn't
(57:20) Build tools for understanding, not just for producing code

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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 Dennis Pilarinos, who is the founder and CEO of Unblocked and a long-time developer tools expert, having founded BodyBuild and having served as a director at Apple, Amazon and Microsoft. 

With Dennis, we talked about the latest trends in software development. We discussed why more tokens are not translating into more productivity, how to guarantee code quality with AI and what's the role of context in making your agents succeed. And we also explored how the Unblocked team is doing it, navigating their setup and a few use cases about how their shipping features in production.

(00:00) Episode start
(03:50) Introducing Dennis Pilarinos
(04:40) Token spend is exploding
(09:03) Measuring developer productivity is still unsolved
(12:31) Code review is the new bottleneck
(18:01) Code quality depends on context, not skill alone
(21:07) The content curation trap: why markdown files go stale
(26:40) What sources to plug into your context engine
(33:47) How the Unblocked team ships: risk assessment and auto-merge
(43:29) Releasing faster: skip design partners, ship to everyone
(49:20) Remote agents and the future of context-powered coding

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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

-

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 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

-

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

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