
14 segments available
AI coding agents are no longer a distant idea—they're already starting to reshape how we work. YC's Tom Blomfield and David Lieb discuss how AI coding tools are transforming software development, why small, high-agency teams will be able to do what once took armies of engineers, and why there's never been a better time to start something new. They explore the bigger picture too: a future where there's more abundance, knowledge work becomes more accessible, and founders have more leverage than ever before. If you're thinking about building, there's no better moment than right now. Apply to Y Combinator: https://ycombinator.com/apply Work at a startup: https://workatastartup.com Chapters (Powered by https://chapterme.co/) - 0:00 Intro 0:46 The combine harvester argument for AI 2:23 Building with no-code tools 5:37 The arguments against AI coding 7:01 Jevons Paradox 9:26 What happens to the software jobs of today? 12:16 How will these tools affect knowledge work? 15:08 The transitory challenge period for people 16:21 Advice for future founders
In this segment, the speakers discuss the strong reactions people have to the potential loss of jobs due to AI coding agents. They reflect on historical shifts in job roles, emphasizing that today's tools empower individuals to achieve more than ever before, making it an ideal time for aspiring founders to start new ventures.
"People have strong reactions when they think, "Oh, the job that I do or my friends do uh might go away." But if you look backwards at history, the first computer programmers that existed, they didn't ..."
Tom Blomfield shares a provocative analogy comparing software engineers to organic farmers, suggesting that just as the combine harvester revolutionized agriculture, AI coding tools will transform software engineering. This segment highlights the potential for increased productivity with fewer engineers, sparking debate in the tech community.
"year. Welcome back to another episode of the breakdown. Today we're going to talk about recent advances in AI specifically coding agents, and how they might change the future of how we do work. Tom, y..."
The conversation shifts to the current state of AI coding agents and their capabilities. The speakers discuss the rapid improvements expected in the coming months and the implications for startups and knowledge work, including professions like law and medicine.
"know, humanity produced way more food but employed way fewer farmers. And I suggested that something similar was going to happen in in software engineering. And this upset a lot of people uh particula..."
David Lieb shares his personal experience with no-code tools, detailing how he successfully built projects without writing traditional code. This segment illustrates the power of modern tools to enable individuals to create complex applications quickly, showcasing the democratization of software development.
"But but for now, let's stick with the kind of the central idea that we've kind of invented automation of software engineering. May maybe you should walk us through kind of how you got to this conclusi..."
The speakers discuss the increasing adoption of AI tools among startup founders, noting a significant rise in companies using these technologies for coding. They explore the implications of this trend for the future of software engineering and the potential for non-technical individuals to contribute to development.
"Windsurf and Claude Code. My blog tomblonfield.com, get the plug in there has been on Tumblr for like 20 years or something. And so the next project was to like rebuild my blog, which I did in 90 minu..."
The discussion turns to Jevons Paradox, where the speakers analyze how decreasing costs of software development may lead to increased demand. They argue that while AI will automate many tasks, the demand for software will continue to grow, potentially outpacing human involvement in coding.
"I kind of started thinking like what happens when other software engineers start start using these tools and many of them already are and what happens when semi-technical people start using them and w..."
Tom and David speculate on the future of software engineering jobs, suggesting that traditional roles may disappear as AI tools become more capable. They emphasize the need for new skills in managing AI coding agents and the evolving nature of the software engineering profession.
"totally agree. And it really if you look at the history of any great product Klay Christensen innovators dilemma the idea they always start looking like toys right yes they're dismissed by the big inc..."
The speakers discuss the importance of human agency in identifying problems to solve, suggesting that while AI can automate tasks, the creative and strategic aspects of software development will still require human insight. They explore the balance between AI capabilities and human creativity.
"harvester, it I don't know what the exact numbers were. It probably resulted in a 10x increase in food productivity but like a thousandx reduction in the number of humans like per per kilogjle of food..."
Reflecting on the history of programming, the speakers highlight how the profession has evolved from manual coding to higher-level abstractions. They argue that AI represents another step in this evolution, allowing humans to focus on more strategic tasks rather than low-level coding.
"ondemand custom software. So you as a person interact with you come to chat GPT with a problem and it spins up a little piece of code to help you solve the problem. It's like an ephemeral program with..."
The conversation shifts to the broader implications of AI tools on knowledge work, including professions like law and medicine. The speakers discuss how AI is becoming essential in these fields, transforming traditional practices and creating new opportunities for efficiency.
"I don't know what your view on that is. I have a few thoughts. One is if you look at the best software that you use in your life, very likely there is a single human being behind that team that built ..."
Tom and David provide examples of startups successfully integrating AI into legal and financial services. They discuss how these innovations challenge traditional business models and the necessity for professionals in these fields to adapt to new technologies.
"forecast a future five or 10 years out is hard. I want to move on from software engineers and coding tools to knowledge work more broadly. Sure. How have you seen these kind of tools impact things lik..."
The speakers address the potential societal challenges posed by the rapid adoption of AI technologies. They express concern about the displacement of workers and the need for retraining, emphasizing the importance of preparing for a future where many traditional roles may no longer exist.
"I think it will become default. Yeah, I I agree with that. I think probably and I'm not deeply involved in law or finance or or medicine. I'm not sure that's yet true. Like I'm not sure it's yet a com..."
In this segment, Tom and David offer practical advice for aspiring founders. They stress the importance of staying updated with the latest tools and developing skills to identify and solve human problems, positioning themselves for success in a rapidly changing landscape.
"makes me feel positive and optimistic about the future is if you just look at each step along this progression and you had to choose as an individual, do I want to live in this world or the world one ..."
Concluding the discussion, the speakers express optimism about the current era for building new ventures. They highlight the unprecedented opportunities created by AI advancements, encouraging entrepreneurs to seize the moment and innovate across various industries.
"career. I agree with what you said. I think the other piece is just get good at identifying human problems to go solve cuz at the core of all of this like every B2B SAS company that exists exists ulti..."