Finding it very educational and interesting to learn about the hardware layer of GPUs: how they are structured, the obvious advantages and disadvantages bs CPUs. This is from Modal’s excellent “GPU Glossary” print book Can Duruk gave me (the PDF is free here: modal.com/gpu-glossary)
Gergely Orosz
Gergely Orosz
@gergely.pragmaticengineer.com
Writing The Pragmatic Engineer (@pragmaticengineer.com), the #1 technology newsletter on Substack. Author of The Software Engineer's Guidebook (engguidebook.com). Formerly at Uber, Skype, Skyscanner. More at pragmaticengineer.com
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What’s changed in “the unwritten rules” of engineering management since the 2010s, why are hands-on managers “back”, and what has it done to the engineer-to-CTO career path? Will Larson is one of the best people I know to answer these questions: • YouTube: youtu.be/Prl858_AovM (cont'd)
Brought to you by: • turbopuffer –vector & full-text search built on object storage: fast, 10x cheaper, and extremely scalable. turbopuffer.com/pragmatic • Entire –Git hosting, rebuilt for the agentic era. Hosts your code in-region, and is up to 89x faster than competitors. entire.io/pragmatic
Brought to you by: What if you only needed a single test to harden your system? Get a free introduction to property-based testing: through a live, online webinar hosted by Hillel Wayne, author of Logic for Programmers and Developer Educator at Antithesis. RSVP: pages.antithesis.com/webinar-prop...
OK I want to give a shoutout to Uptime Labs (www.uptimelabs.io) - mentioned by Sam Newman on the podcast. They do incident response training via simulations, so eng teams are better prepared when an outage happens. SO COOL! London-based (Zero affiliation: just love to see useful tools!)
And here's the podcast episode where Sam Newman mentioned them as an excellent startup to help uplevel incident management inside of startups. newsletter.pragmaticengineer.com/p/building-r... Back at Uber, during my time, there was infrequent internal outage simulation that was an awesome exp
A very very interesting and recent book by Dr Cat Hicks ( @grimalkina.bsky.social ): Pyschology of Software Teams She makes a good case on how most companies/teams don’t understand how devs operate and think of devs as “brains in jars.” And now we have AI suddenly enter the room…
What do developer tools look like inside Uber today? They are very different from what you would see at most places. We get a rare tour with one of Uber's longest-tenured engineers, Uday Kiran Medisetty - who was at Uber already when I joined in 2016! • YouTube: youtu.be/MDUYSMJmi8A (cont'd)
• Spotify: open.spotify.com/episode/73oD... • Apple: podcasts.apple.com/us/podcast/t... Brought to you by: • turbopuffer – The tpuf team is rebuilding their storage architecture from first principles to make search faster, cheaper, and more reliable at scale. Follow along at turbopuffer.com/v3
Brought to you by: • Linear – the product development system for teams and agents. Linear Diffs is new feature to review PRs inside of Linear, w all the context in one place. linear.app/pragmatic • WorkOS – Check out WorkOS built Airlock, the authorization layer for AI agents. workos.com/airlock
When does it still make sense to use microservices; and what are mental models to keep in mind when building resilient distributed systems? With Sam Newman, author of Building Microservices, and the fresh release Building Resilient Distributed Systems: YouTube: youtu.be/a0sZV0qIbI0 (cont'd)
• Spotify: open.spotify.com/episode/0XQn... • Apple: podcasts.apple.com/us/podcast/b... Brought to you by: • turbopuffer– a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable. turbopuffer.com/pragmatic (cont'd)
Brought to you by: • Entire –Git hosting, rebuilt for the agentic era. Every agent session, prompt and tool calls: stored in your repo. entire.io/pragmatic • Antithesis –verify your system’s correctness w/o human review or traditional integration tests; avoid bugs/outages. antithesis.com/pragmatic
My keynote at LDX3 New York, "The state of the tech industry in 2026," is now available to watch (and read!) online here: newsletter.pragmaticengineer.com/p/the-state-... You can also watch it on YouTube, here: www.youtube.com/watch?v=Ru99... It's a summary of what I observed change in ~12 months.
If you want to read the speicifc post, here it is: archestra.ai/blog/routing... Pretty clear the dev just asked Claude or GPT to write a post based on some experiment it did. The result is horrendous, and impossible to read... SO BAD and no one noticed?!!
Open source: absolutely! bsky.app/profile/just...
Er, you missed open source. We went from writing software from scratch to building software 95% out of open source components, for a 20x speedup, after that.
Brought to you by: • turbopuffer –the team are redesigning their storage arch from first principles & they’re documenting it: turbopuffer.com/v3 • Linear – most of us work with agents in a “single-player” setting. Linear’s take is agent work should be teamwork. Check it out linear.app/pragmatic
Brought to you by WorkOS – fresh from the WorkOS oven: Airlock, the authorization layer for AI agents. It evaluates every request against the agent’s intent and your rules and either allows it, denies it, or routes it to a human for approval. Works w CC, Codex and MCP gateways. workos.com/airlock
Very much enjoying this “GPU glossary” mini-book by Modal I got from Can Duruk when stopping by at Modal’s NYC office. I don’t know if the physical books can be purchased, but the book has an online version, as I learned; with the same contents: modal.com/gpu-glossary
That DHH saying out loud that the age of writing code by hand is over for the industry, and causing such an uproar is a bit interesting, given this was clear enough since ~January for most of us using the models + paying attention. Removed paywall: newsletter.pragmaticengineer.com/p/when-ai-wr...
What can us, engineers learn from design engineers? Turns out there’s lots, based on talking with one of the best design engineers in the industry, @maggieappleton.com • YouTube: youtu.be/KZSzF0KEFRg • Spotify: open.spotify.com/episode/1gdA... • Apple: podcasts.apple.com/us/podcast/d...
I am a sucker for good books, and so especially O'Reilly books. Here's one that is WIP, but in return, it is free, thanks to @antithesis.com It's for CTOs / eng leaders who want to get AI to deliver *business value* which is... tricky. Get it here: pages.antithesis.com/oreilly-scal...
A look into how the Windows team is integrating AI into their OS: eg adding agent identities, akin to that of a user. It's the first opinionated approach I see for AI agents at the OS level - and surely other OSes will do sg similar. Deepdive: newsletter.pragmaticengineer.com/p/windows-an...
Why is the “grill-me” skill so popular, and why does its creator swear by the importance of software fundamentals? We cover this & many more w @mattpocock.com YouTube: www.youtube.com/watch?v=4Dhc... Spotify: open.spotify.com/episode/3pLP... Apple: podcasts.apple.com/us/podcast/a...
Here's what OpenAI's agentic software factory looks like, today. It's surely not token efficient, but eg agents "babysitting" releases to prod is something new, and an interesting approach. Details: newsletter.pragmaticengineer.com/p/openai-sof...
How was Codex built, why is it open source, how is it used inside of OpenAI, and how has it changed software development within the company? Tibo Sottiaux was on the team that started Codex & now heads it up: • YouTube: www.youtube.com/watch?v=sLST... • Apple: podcasts.apple.com/us/podcast/b...
And Spotify: open.spotify.com/episode/4TOP... Brought to you by: • turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable. turbopuffer.com/pragmatic (cont'd)
Brought to you by: • Antithesis: verify your system’s correctness w/o human review or traditional tests, and avoid bugs or outages. antithesis.com/pragmatic • Entire: Git hosting, rebuilt for the agentic era. Hosts your code in-region, and is up to 89x faster than competitors. entire.io/pragmatic
What’s the problem w using LLMs to write stuff you want other people to read -emails, articles, posts- and why are people (like me!) so incredibly hostile that they will block you/mute you/block your domain, to never read anything from you again? Bryan spells it out. Read it:
Your intellectual fly is open bcantrill.dtrace.org/2025/12/05/y...
Write about how software engineering is changing inside your company / team / project. Don’t use AI. Win $10K and get published in The Pragmatic Engineer. You have a month: submit by 4 October. Details: blog.pragmaticengineer.com/how-software...