software engineering
13 statements across 11 episodes · 6 bullish · 0 bearish · 11 people on the record · first statement Apr 25, 2023 by Denis Yarats · across every show →
Everything said about software engineering, oldest first
Apr 25, 2023 positive
Yarats: The best AI research breakthroughs came from top software engineers
“Turns out through my experience, the best research scientists, also very good engineers, like very good engineers. And we've noticed like through DeepMind and OpenAI is just like the companies that made the most progress over like last six years or five years …”
Apr 25, 2023
Zaharia: Academic founders must unlearn short-term prototyping for maintainable engineering
“A lot of research, at least in computer science, the kind of stuff that I've worked on, a lot of research is basically, is mostly prototyping. It's like, can we showcase an idea, but it's not really software engineering of like, we'll build a thing that can be…”
Jan 18, 2024 neutral
Beyang Liu: AI will compress boilerplate middleware in software engineering
“I think what AI will do is it will compress the middle because in the middle is really just a lot of, like, abstractions and middleware and other things that are today necessary and today, you know, require a lot of human labor to implement.”
Nov 14, 2024 neutral
Mehta: As AI solves problems, human roles shift toward question framing
“As machines get better at finding the answers, like, we're going to have to get better at finding the questions. And, you know, like these systems don't have a, you know, their own sort of notion of what questions are interesting. And given a large question, h…”
Mar 13, 2025 bullish
Dohmke: AI will converge product management, design, and engineering roles
“I think tomorrow you're going to, as a designer, type effectively the same specification as a product manager and you have, you know, an AI to render the code for the wireframes and then apply, you know, grounding out of your design system to make it look like…”
Apr 10, 2025 neutral
Foody: Software talent is power-law distributed, but less extreme than venture investing
“It's very industry by industry, right? Like for you and in investing, right? It's like the most power law thing imaginable. And where it's just like the top handful of companies each decade are the ones that matter such a disproportionate amount. And it's the …”
Aug 21, 2025 bullish
Dec 5, 2025 neutral
Pereyra: Real software engineering lacks objective unit-test verifiability at scale
“I think you actually have the same problem in programming, where I think in the short term programming is verifiable, where you can look at unit tests, but once you get into real software engineering, like the unit, there is no unit test. It's like I deployed …”
Dec 5, 2025 neutral
Mar 20, 2026 bullish
Karpathy: Parallel AI agents elevate software engineering to macro actions
“It's just like you can move in much larger macro actions. It's not just like, here's a line of code, here's a new function. It's like, here's a new functionality. And delegate it to agent one. Here's a new functionality that's not going to interfere with the o…”
Apr 3, 2026 bullish
Fedus: Recursive self-improvement is happening in software and entering AI research
“So, In that domain, I think it's happening now-ish. And I think we'll see the same thing too for AI research. That's a slower outer loop because now the experiment isn't just checking some unit tests passing, but it's checking what was the scaling property? Di…”
Apr 3, 2026
Fedus: Self-improving software AI will not automatically generalize to domains like biology
“So rolling forward that software engineering self-improvement, I think you're going to have a system that can write complete repositories, identify bugs, refactor code, But it doesn't suddenly understand biology. Right? It's just like there's a domain gap ther…”
Jun 18, 2026 positive
Gil: Team management experience transfers directly to managing AI agents
“Many people now that I know are hiring people more in their thirties, forties, fifties, because they're used to managing teams. And I think that transfers directly over to managing agents in terms of understanding the complexity of what to set up and the QA an…”