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CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.

• Recommendstheir ownrcmnd.app

  eve

  Their words

  But how many that give you a Git repo where you actually *own* the entire intelligence stack? Runtime, model choice, skills, tools, connectivity, sandbox…

  x.com

Programmer; makes Handmade Hero and teaches Performance-Aware Programming, and argues loudly about how software got slow.

• Our readingkorrents.com

  Assembly is far simpler to learn than the modern web stack: anyone who can vertically centre a div can learn to read it.

  Their words

  it's really much easier if you can understand how to center a div as they say if you can vertically center a div in HTML then you can probably learn assembly language I would say

  youtube.com

Engineering leader on Google Chrome; writes about web performance and, lately, about working with AI coding tools.

• Our readingkorrents.com

  Performance work used to mean half a day reading traces before writing a single fix, and language models have collapsed that step to minutes.

  LLMs

  Their words

  I remember anytime I would work with a big site on their performance problems, uh you could easily spend half a day, um you know, just looking at traces before you've even written any fixes at all. And now that we have LLMs, it's very quick to like reason through massive stack traces and actually be able to get down to fixes you can make.

  youtube.com

Creator of the Keras deep-learning library and the ARC-AGI benchmark.

• Our readingkorrents.com

  Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning.

  LLMs

  Their words

  However, looking ahead, I still do not believe that future AI (say, in 15 years) will be based on the LLM stack. I believe it will necessarily have to move closer to its optimal, final form -- symbolic learning. Obviously this is a risky and contrarian belief -- the safe bet would be LRMs. But let's see.

  @fchollet on Xx.com

Chief Product and Technology Officer at Netflix, previously VP of Science at Lyft and an economist at Analysis Group.

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  What made Netflix fast — local teams building whatever stack they needed — stops working once agents operate across systems; common paved paths now matter more.

  Their words

  In a world of AI with agents operating across multiple systems, wanting source of truth data, the importance of having preferred paved paths that get the most of the benefits and produce some guardrails so we can make sure we're doing good work, common infrastructure, common paved paths, solving problems once with a core set of capabilities becomes more important.

  youtube.com

Canadian bootstrapper and writer on small software businesses. Co-founder of the podcast hosting company Transistor.fm and author of the book Marketing for Developers.

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  As AI makes coding easy for everyone, the ability to code stops being a meaningful edge for entrepreneurs.

  Their words

  Indie entrepreneurs need to stack every advantage they have, and increasingly "coding" won't be the advantage it once was.

  The value of software in a Fable worldjustinjackson.ca

Chief executive of Intel since 2025, founder of the venture firm Walden International and chief executive of Cadence Design Systems for thirteen years.

• Our readingkorrents.com

  Selling silicon is no longer enough — customers now ask for the whole rack, so a chip company has to become a full-stack company.

  Their words

  And eventually, you have to really move into a full stack. So, not just a silicon, you need to have a software, and some of the customer asked me, "Give me the whole rack." So, there's a system that you have to build.

  youtube.com

Author of The Lean Startup and Incorruptible, and founder of the Long-Term Stock Exchange, who advises companies on corporate governance and mission protection.

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  Trustworthiness is the most underrated asset in business, and prioritizing by ROI always ranks it last.

  Their words

  Trustworthiness is the most underrated asset in all of business. And the things that create trustworthiness by definition stack rank to the bottom if we do it by ROI because doing the right thing has intangible rewards but tangible costs.

  youtube.com

Co-founder of NVIDIA and, as of 2026, its chief executive; the company designs the GPUs most large AI models are trained on.

From one piece Jensen Huang – Will Nvidia’s moat persist? 3 beliefs, in the piece's order there

• Our readingkorrents.com

  Nvidia should build only what would not otherwise exist — twenty years of CUDA at a loss is the test, and the world already has plenty of clouds.

  Their words

  the work that we do with building our our computing platform. If we don't if we don't do it, I genuinely believe it doesn't get done. If we didn't take the risk that we take, if we didn't build MVLink the way we built, if we didn't build the whole stack, if we didn't create the ecosystem the way we did it, if we didn't dedicate ourselves to 20 years of CUDA while losing money most of that time, if we didn't do it, nobody else would have done it.

  Jensen Huang – Will Nvidia’s moat persist?youtube.com

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  Nvidia's engineers can routinely get another 2x out of an AI lab's stack, and doubling the tokens a fleet produces doubles that lab's revenue.

  Their words

  And so our expertise um helps our our our um uh our AI labs partners get another 2x out of their stack easily. Often times it's not unusual that we you know by the time that we're done optimizing their stack or optimizing a particular kernel their model sped up by 3x 2x 50%.

  Jensen Huang – Will Nvidia’s moat persist?youtube.com

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  No platform in the world has a better performance-per-total-cost-of-ownership ratio than Nvidia's, and nobody will run the public benchmark to show otherwise.

  benchmarks

  Their words

  Nvidia's computing stack is the best performance per TCO in the world, bar none. Nobody can demonstrate to me that any single platform in the world today has better performance TCO ratio. Not one company.

  Jensen Huang – Will Nvidia’s moat persist?youtube.com

Founder and chief analyst of SemiAnalysis; reports on semiconductor supply chains, AI datacentre economics and what the chip export controls actually do.

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  The world can make roughly 200 gigawatts of AI chips a year by 2030, which makes a gigawatt a week a plausible quarter of the market rather than a fantasy.

  data centers

  Their words

  Um, and then you stack on 70 this year, 80 next year, growing to 100 by 2030. You're at like 700 EV tools by the end of the decade. Um, 700 EV tools, three and a half tools per gigawatt. um assuming it's all allocated to AI which it's not but three and a half tools per gigawatt gets you to 200 gigawatts worth of AI chips for the data centers to deploy

  youtube.com

Canadian bootstrapper and writer on small software businesses. Co-founder of the podcast hosting company Transistor.fm and author of the book Marketing for Developers.

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  When a skill becomes widely attainable, people feel pressure to seek a rarer, higher-leverage skill to prove their value.

  Their words

  When rare skills become more attainable, people feel pressure to move "up the stack" to prove their value.

  Will Claude Code ruin our team?justinjackson.ca

Programmer and designer who writes at tonsky.me; author of Fira Code, DataScript and AnyBar.

• Our readingkorrents.com

  Bloated, slow software is caused by a lack of engineering care, not by the choice of technology stack.

  Their words

  The real problem is a lack of care. And the slop; you can build it with any stack.

  tonsky.me

Writer and former Substack product manager; publishes essays and interviews on technology, culture and China at jasmi.news.

• Our readingkorrents.com

  AI researchers are overly focused on risks from model misalignment relative to risks arising from other layers of the AI stack.

  AI alignment

  Their words

  Many AI researchers are overly focused on risks from model misalignment, and will be in for a rough surprise when havoc arises from other layers of the stack.

  🌻 AI vs. the pentagonjasmi.news

Entrepreneur and founder of Blueprint. Publishes a detailed, freely available longevity protocol documenting the food, supplements, devices and measurements he uses on himself.

• Usestheir ownrcmnd.app

  Blueprint Longevity Mix

  Their words

  These are in the Blueprint stack including Essential Capsules and Longevity Mix

  protocol.bryanjohnson.com

Machine learning engineer and independent AI consultant. He writes about LLM evaluation, tooling and applied ML at hamel.dev, and previously worked on machine learning at GitHub.

• Likedrcmnd.app

  Next.js

  Their words

  I now use different languages for different tasks. For web development, I prefer the Next.js stack.

  hamel.dev

Programmer and designer who writes at tonsky.me; author of Fira Code, DataScript and AnyBar.

• Our readingkorrents.com

  Local-first software will not become the dominant architecture, and that is an acceptable outcome.

  Their words

  Local-first is not going to win, but that's okay We'll explore the complexities of traditional stack (db-server-frontend), develop a theory of software evolution: which systems succeed and why.

  tonsky.me

Co-founder of the AI agent company Sierra, and previously an eighteen-year Google executive who ran product for Workspace, virtual and augmented reality, and Google Labs.

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  An application-layer AI company's real breakthroughs come from going a click or two down the stack rather than from using the models as they are.

  Their words

  many of the breakthroughs that we've had that have enabled us to to deliver such quality and cost savings and more have come through novel agent architectures and and really going down a click or two in in the stack to innovate at at lower levels of the technology stack.

  youtube.com

Founder of Terraform Industries and formerly a physicist at NASA's Jet Propulsion Laboratory; writes about energy, space and manufacturing.

• Our readingkorrents.com

  If the industrial stack is not off fossil fuels within ten or twenty years, the country gets poor twice over — the way Britain did when its coal ran out, and again when Florida floods.

  energy

  Their words

  the meta problem here is if we don't move our industrial stack off fossil fuels in 10 or 20 years, first of all, we'll get poor the same way you UK did, right? Because they ran out of coal basically. And the second thing is we'll get poor because we'll flood our coastal cities in Florida underneath climate change.

  youtube.com

Computer performance engineer working on datacenter performance at OpenAI, previously Netflix and Sun/Joyent. Author of Systems Performance and BPF Performance Tools, and creator of flame graphs.

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  NVIDIA's Nsight Graphics GPU flame graphs are shallow and cumbersome to use compared to full-stack profiling tools

  Their words

  They do have flame graphs in Nsight Graphics for GPU workloads, although their flame graphs are currently shallow as it is GPU code only, and onerous to use as I believe it requires an interposer; on the plus side they have click-to-source.

  Doom GPU Flame Graphsbrendangregg.com

Historian of invention; writes Age of Invention on where the Industrial Revolution actually came from.

• Our reading nowkorrents.com

  England switched from wood to coal because deforestation had made firewood scarce.

  On changing their mind

  As I set out last time, the usual story — that this was caused by deforestation, making firewood so scarce that people resorted to burning an inferior but cheaper fuel — simply does not stack up.

Egyptian front-end developer and course creator; writes for CSS-Tricks, publishes courses on Udemy and blogs at alialaa.dev.

• Usesrcmnd.app

  Sendy

  Their words

  I use Sendy for newsletters. It's a self-hosted service which uses Amazon Simple Email Service. It's written using PHP and thus it needs the LAMP stack to be hosted. I use a DigitalOcean droplet with the LAMP stack installed to host it.

  alialaa.dev

Principal engineer at Cloudflare as of 2026, on agents and developer tooling. Streams TypeScript, OCaml and Neovim on Twitch, and wrote the better-result library after writing the same Result type about a hundred times.

• Our readingkorrents.com

  JavaScript has the lowest bar of entry to being productive, but one of the highest bars of any stack to building high-quality, stable, reliable software.

  JavaScript

  Their words

  My hot take is that JS has the lowest bar of entry to building and being productive (a good thing) but one of the highest bars of any language and stack to building high quality, stable, and reliable software. Very few devs have the expertise to pull off the latter

  @dillon_mulroy on Xx.com

Creator of Ruby on Rails, CTO of 37signals, and creator of Omarchy.

• Our reading nowkorrents.com

  Ruby on Rails took off because its creator evangelized it by arguing its superiority against the competing alternatives.

  Ruby on Rails

  On changing their mind

  And for a long time, I thought that's what had worked. That this was why Ruby on Rails took off, became one of the most popular full-stack web frameworks of all time, inspired countless clones, and created hundreds of billions in enterprise value for companies built on it. But I was wrong. It wasn't the crusade that did it.

Engineer and writer on machine-learning systems; author of Designing Machine Learning Systems and AI Engineering. "I work to bring AI into production. I write about AI system design."

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  The lower a layer sits in the software stack, the harder it is for an individual developer to build in it.

  Their words

  the lower we go in the stack, the harder it is for individuals to build.

  huyenchip.com

Programmer; founded comma.ai and tinygrad, and was the first to unlock the iPhone.

From one piece George Hotz: Tiny Corp, Twitter, AI Safety, Self-Driving, GPT, AGI & God | Lex Fridman Podcast #387 2 beliefs, in the piece's order there

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  Anyone who cannot write a full software stack for NVIDIA's generic GPUs has no chance of writing one for their own, more specialised, AI chip.

  Their words

  It’s always harder to write software for more specialized hardware. A GPU is pretty generic. If you can’t write an in Nvidia stack, there’s no way you can write a stack for your chip. My approach with Tinygrad is first write a performant NVIDIA stack.

  youtube.com

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  Reproduction is the thing life is built on and the thing machines cannot do; for all its progress, the silicon stack is nowhere near reproducing itself.

  Their words

  There’s two stacks of life in the world. There’s the biological stack and the silicon stack. The biological stack starts with reproduction. Reproduction is at the absolute core. The first proto-RNA organisms were capable of reproducing. The silicon stack, despite, as far as it’s come, is nowhere near being able to reproduce.

  youtube.com