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Coding agents are no longer a distant idea—they're already starting to reshape how we work. YC's Tom Blomfield (Tom Blomfield) and David Lieb (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. 0:00 - Intro 0:46 - The combine harvester argument for AI 02:23 - 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 - An abundant future 16:21 - Advice for future foundersshow more

Y Combinator

1,621,046 subscribers

212,424 次观看 • 1 年前 •via X (Twitter)

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11 条评论

Y Combinator 的头像

Y Combinator1 年前

Tune in:

NICE 的头像

NICE1 年前

Stay competitive by balancing cutting-edge AI with automation tools. Forrester shows how.

Richardson Dackam 的头像

Richardson Dackam1 年前

@t_blom @dflieb Cursor and Windsurf were just the beginning. Now we’re about to see tools built for the very tools that started as extensions themselves.

AI Capital 的头像

AI Capital1 年前

@t_blom @dflieb Absolutely, coding agents are already changing the game—smaller teams can now build bigger, faster, and smarter than ever before

Jashan ⚡️ 的头像

Jashan ⚡️1 年前

@t_blom @dflieb "I'm skilled in MS Excel" is what's happening to coding.

Linus D.E. | web3 ride-hailing alliance nRide 的头像

Linus D.E. | web3 ride-hailing alliance nRide1 年前

@garrytan @t_blom @dflieb That's really interesting... I've been thinking about how coding agents could change the game for decentralized projects. Like, imagine if we could automate some of the more tedious tasks in web3 development. Would love to hear more about Tom Blomfield's thoughts on this...

Geeked 的头像

Geeked1 年前

@t_blom @dflieb Ok ok

Kane ⚡ 的头像

Kane ⚡1 年前

Great discussion! Really resonated with the point about small, high-agency teams having more leverage than ever. Over the past month, I’ve been experimenting and was able to build 12 working apps (even created my own AI code editor). A year ago, I wouldn’t have thought this was possible. The leverage AI gives builders today is unreal.

DALNK ʕ •ᴥ•ʔつ━☆ 的头像

DALNK ʕ •ᴥ•ʔつ━☆1 年前

@t_blom @dflieb 99.999% of the code we ship is generated

andydrewie 的头像

andydrewie1 年前

@t_blom @dflieb We’re likely going to see a Cambrian explosion of personalized apps in the near future, but it wouldn’t take long before OpenAI or other major LLM to turn itself into a super app, generation on demand, that’ll allow users to do everything via its Command Line Interface.

Mahaoo 的头像

Mahaoo1 年前

@t_blom @dflieb its nice to see YC partners finally updating

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Y Combinator

337,015 次观看 • 1 年前

Ben Horowitz and Alex Rampell on AI Infrastructure, Crypto, and the Future of Venture a16z's Ben Horowitz and Alex Rampell sit down to discuss why the fundamental rules of building software companies have changed, how AI is creating massive demand for crypto infrastructure, why the next 15 years will make everyone's lives dramatically better, and more. 00:00 Intro 01:39 The new laws of physics for tech companies 06:37 Why not every legacy SaaS company is dead 10:30 America's AI infrastructure bottleneck 14:27 AI + crypto: Why they're more connected than you think 19:54 The future of VC 24:06 AI and the history of technological change benahorowitz.eth Alex Rampell

Ben Horowitz and Alex Rampell on AI Infrastructure, Crypto, and the Future of Venture a16z's Ben Horowitz and Alex Rampell sit down to discuss why the fundamental rules of building software companies have changed, how AI is creating massive demand for crypto infrastructure, why the next 15 years will make everyone's lives dramatically better, and more. 00:00 Intro 01:39 The new laws of physics for tech companies 06:37 Why not every legacy SaaS company is dead 10:30 America's AI infrastructure bottleneck 14:27 AI + crypto: Why they're more connected than you think 19:54 The future of VC 24:06 AI and the history of technological change benahorowitz.eth Alex Rampell

a16z

24,904 次观看 • 4 个月前

What happens when intelligence becomes a line item? For the first time, companies can treat AI token spending almost like headcount: allocate more money, deploy more intelligence, and potentially get more work done. That changes the economics of building a company. It could reshape how companies form, how teams are managed, how businesses are financed, and who is best positioned to build them. a16z crypto General Partner Guy Wuollet and Head of Engineering ncitron.eth join Robert Hackett to explore why engineering leaders may soon manage token budgets like P&Ls, the emergence of software-engineering “pod shops”; and whether the future belongs to smaller, leaner businesses run by people who are unusually good at directing agents. They also ask why AI agents may naturally transact using stablecoins, and confront a larger question: If AI has created so much new intelligence, why hasn’t it produced an obvious jump in economic growth? And in a world where everyone can access powerful models, will intelligence matter less than grit, judgment, and agency? 0:00 Intro 4:01 Why token spending is starting to resemble headcount 4:51 Deciding how much spend is too much spend 9:04 The agentic A/B test: How to quantify "return on tokens" 12:05 The software-engineering "pod shop" 25:13 Paying deference to the Machine God 26:06 The rise (or not) of lean, AI-native microbusinesses 28:05 Everyone's a manager? The new style of thinking for engineers 30:48 Why AI agents may naturally use stablecoins 34:33 When AI productivity will appear in GDP 47:49 Why grit and agency may matter more than IQ 51:38 How AI could create new paths for startups 54:53 Innovation, commoditization, and creative destruction

What happens when intelligence becomes a line item? For the first time, companies can treat AI token spending almost like headcount: allocate more money, deploy more intelligence, and potentially get more work done. That changes the economics of building a company. It could reshape how companies form, how teams are managed, how businesses are financed, and who is best positioned to build them. a16z crypto General Partner Guy Wuollet and Head of Engineering ncitron.eth join Robert Hackett to explore why engineering leaders may soon manage token budgets like P&Ls, the emergence of software-engineering “pod shops”; and whether the future belongs to smaller, leaner businesses run by people who are unusually good at directing agents. They also ask why AI agents may naturally transact using stablecoins, and confront a larger question: If AI has created so much new intelligence, why hasn’t it produced an obvious jump in economic growth? And in a world where everyone can access powerful models, will intelligence matter less than grit, judgment, and agency? 0:00 Intro 4:01 Why token spending is starting to resemble headcount 4:51 Deciding how much spend is too much spend 9:04 The agentic A/B test: How to quantify "return on tokens" 12:05 The software-engineering "pod shop" 25:13 Paying deference to the Machine God 26:06 The rise (or not) of lean, AI-native microbusinesses 28:05 Everyone's a manager? The new style of thinking for engineers 30:48 Why AI agents may naturally use stablecoins 34:33 When AI productivity will appear in GDP 47:49 Why grit and agency may matter more than IQ 51:38 How AI could create new paths for startups 54:53 Innovation, commoditization, and creative destruction

a16z crypto

58,574 次观看 • 17 天前

I went to Miami to chat with dax, co-founder of OpenCode. We talked about the future of software engineering, coding agents, and why open source matters more now than ever. Timestamps: 0:00 Intro 5:30 Miami vs San Francisco tech scene 15:05 OpenCode origin story, scaling while open-source 25:03 OpenCode vs. Anthropic: owning models, open-source AI 33:36 AI hardware shortages, predicting the future 42:15 The bet of open-weight models, China vs. US 48:34 Why inference is hard, economics of intelligence 55:36 Will developers be automated? Software engineering as a craft 1:11:02 Advice to founders, building in public, marketing I had so much fun making this with Lan. Enjoy!

I went to Miami to chat with dax, co-founder of OpenCode. We talked about the future of software engineering, coding agents, and why open source matters more now than ever. Timestamps: 0:00 Intro 5:30 Miami vs San Francisco tech scene 15:05 OpenCode origin story, scaling while open-source 25:03 OpenCode vs. Anthropic: owning models, open-source AI 33:36 AI hardware shortages, predicting the future 42:15 The bet of open-weight models, China vs. US 48:34 Why inference is hard, economics of intelligence 55:36 Will developers be automated? Software engineering as a craft 1:11:02 Advice to founders, building in public, marketing I had so much fun making this with Lan. Enjoy!

Madison Kanna

267,359 次观看 • 1 个月前