A Life Engineered

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Guest Links:
https://www.computerenhance.com/
https://www.kickstarter.com/projects/annarettberg/meow-the-infinite-book-three https://x.com/cmuratori

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http://go.alifeengineered.com/?utm_source=yt&utm_medium=lf&utm_campaign=s2p-nr&utm_content=casey-muratori2-sponsored

Casey Muratori has spent 20 years writing code by hand and still couldn't care less about AI — not because he thinks it won't work, but because programming is the point, not the output.

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Guest Links:
https://www.instagram.com/anjali.gama/?hl=en
https://www.linkedin.com/in/anjali-viramgama

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Anjali Viramgama grew her online following to half a million people by turning her own learning into content, while working full time in Big Tech. Since then, she has coached hundreds of students into their first tech roles.

She breaks down why “follow your passion” is bad career advice, how she applied to the same role ten different ways, and why depth of specialization — not just the ability to prompt — is what will matter most in an AI-driven industry.

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Guest Links:
https://a16z.com/author/anish-acharya/
https://www.linkedin.com/in/anishacharya

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From building at Amazon in the early 2000s to selling a company to Google, Anish Acharya has spent his career chasing the edge of where the most ambitious people are working. He breaks down why enterprise software is oversold, how AI coding agents are unlocking a generation of builders, and what it takes to show up with a founder mindset no matter where you sit.

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Guest Links:
https://es.linkedin.com/in/tuomasartman
https://linear.app/about

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What separates a high-level CTO from a Senior Engineer? And what is the one mistake that can stall your trajectory for nearly a decade? Co-founder and CTO of Linear Tuomas Artman has navigated the highest levels of technical leadership and knows exactly what it takes to scale both systems and careers.

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Guest Links:
https://www.linkedin.com/in/suphilip
https://molochinations.substack.com/ 
https://superphonic.fm/

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http://go.alifeengineered.com/?utm_source=yt&utm_medium=lf&utm_campaign=s2p-nr&utm_content=philip-su2-sponsored

The "event horizon" for software engineering has arrived, and former Meta I9 engineer Philip Su says the traditional developer role isn't coming back. Discover why your most valuable skill may no longer be writing code.

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Prepare for your next interview the smart way with Hello Interview: https://www.hellointerview.com/?ref=alifeengineered

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Stefan Mai walked away from Meta and Amazon to build Hello Interview, and what he's learned about AI's impact on hiring will surprise you. 

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Guest Links:
https://www.linkedin.com/in/skeptomai

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Christopher Brown, one of the founding engineers behind EC2 and former Amazon Senior Principal Engineer, pulls back the curtain on Amazon's transformation into a Day Two company. The path to tech success fundamentally changed overnight.

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Guest Links:
https://www.waterfall.net (Mention this podcast for $100 credit when you book)
https://www.linkedin.com/in/christophe-bisciglia-745aa810

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Christophe Bisciglia walked away from early Google equity that would be worth $72 million today to build a multi-billion dollar company. Now he runs a 120-foot waterfall hotel in Hawaii, programs with AI, and finally works on something he actually gives a sh*t about.

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Guest Links:

https://www.instagram.com/madeline.m.zhang/
https://www.youtube.com/@maddyzhang

Maddie Zhang walked away from Google with four job offers in hand during one of tech’s toughest hiring markets. If you’re thinking about leaving your comfortable job or wondering how to actually land offers in this brutal market, this is your playbook.

Get 6 months free of Linear Business (3 seats) to celebrate our partnership 👉🏻 Redeem at: https://linear.app/ale

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Guest Links:
https://www.linkedin.com/in/michaelnovati/
https://formation.dev/

Michael Novati's journey from Meta intern to E7 principal engineer in six years required the company to invent an entirely new career archetype: the "coding machine."

This conversation explores the tension between individual excellence and organizational scale, why the coding machine archetype hits a ceiling, and how AI is simultaneously amplifying and threatening this approach.