@GergelyOrosz: I did my first-ever AMA episode. Your questions, my answers! Timestamps: 00:00 Intro 01:56 From Uber to writing 09:22 A…
Summary
Gergely Orosz hosts his first AMA episode, answering questions on AI-native SDLC, AI in hiring, engineering management, and sharing how the pandemic led to his writing career.
View Cached Full Text
Cached at: 07/11/26, 05:33 PM
I did my first-ever AMA episode. Your questions, my answers! Timestamps:
00:00 Intro 01:56 From Uber to writing 09:22 AI-native SDLC 14:00 AI and hiring 19:06 Engineers currently thriving 22:18 Junior roles 24:44 Meta’s war mode 27:54 AI at Big Tech vs. startups 36:46 Tech debt 41:36 Types of engineering managers 44:40 Measuring AI productivity 48:30 The value of CS degrees 50:53 AI at Pragmatic Engineer 56:09 Future-proofing your career 1:01:36 The EU job market 1:03:55 Making money as a creator 1:08:20 What’s next for The Pragmatic Engineer 1:09:27 Bunq and Pollen 1:13:38 Spotting trends 1:14:33 Book updates 1:15:20 Favorite books & tech products 1:17:13 What won’t change in engineering
Brought to you by @AntithesisHQ: verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages.
Here’s a fun fact I don’t think I’ve shared before: without the COVID-19 pandemic, The Pragmatic Engineer might not exist. Prior to the global health crisis in 2020, I had no plans to get serious about writing: I enjoyed blogging on The Pragmatic Engineer blog, but intended to remain an engineering manager or software engineer for the foreseeable future.
But then, COVID-19 happened and Uber made layoffs, which led to a quarter of my team being let go, while the rest of us were disbanded into other teams. It was a tough time, and I decided it was a good moment to exit and finish writing a book I had been working on, ‘The Software Engineer’s Guidebook’. After that project was complete, I planned to try and start a VC-funded startup and build something around platform engineering; possibly a system for tracking RFCs at mid-sized and larger companies.
I gave myself around eight months to finish the book, but when that deadline elapsed, it still wasn’t ready. I did write three other books (‘The Tech Resume Inside-Out’, ‘Building Mobile Apps at Scale’, and ‘Growing as a Mobile Engineer’) and still wasn’t convinced by any startup idea. But I did discover that I like to write!
Similar Articles
@GergelyOrosz: From a lead fullstack engineer in Germany, interviewing: "Interviews have changed, a LOT! In the past, interview questi…
A lead fullstack engineer in Germany observes that tech interviews have shifted from discussing frameworks like React vs Angular to requiring candidates to use AI to rapidly generate a product from a spec, calling the trend 'pure insanity'.
@aiDotEngineer: Tokenmaxxing, Productivity, & internal AI Platforms @swyx in conversation with @GergelyOrosz, Editor of The Pragmatic E…
Podcast discussion on "tokenmaxxing," real-world AI productivity gains, and how internal AI platforms are reshaping software engineering roles.
@GergelyOrosz: How is CI/CD changing because of AI, and what are sensible deployment practices more teams should be doing? Robert Erez…
A podcast conversation with CI/CD expert Robert Erez explores how AI is reshaping CI/CD practices, the nuances of GitOps, and trends like ephemeral environments and progressive delivery.
@GergelyOrosz: With every new model, I put it to the test in writing - to see if I could do what I do - I give it a bunch of interview…
Gergely Orosz tests new AI models like Fable and GPT-6 by asking them to write articles in his style from his interviews, but finds they fail spectacularly, producing lots of words without understanding.
@GergelyOrosz: How are tech interviews changing, what is wrong with the CAP theorem, and what skills are becoming more important than …
Gergely Orosz shares highlights from a podcast with Neetcode founder Navdeep Singh, discussing flaws in the CAP theorem, changes in tech interviews, and the ongoing value of coding skills despite AI advancements.