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YC

Y Combinator Cast

04/25/25

@ Y Combinator

I wouldn't expect AI models to one-shot entire products yet, especially if they're complicated. I prefer to implement features piece by piece and ensure each step works before proceeding.

Video

How To Get The Most Out Of Vibe Coding | Startup School

@ Y Combinator

How To Get The Most Out Of Vibe Coding | Startup School

04/25/25

Related Takeaways

Mira Murati

09/25/23

@ a16z

Building good products on top of AI models is incredibly difficult.

Mike Krieger

05/09/25

@ Sequoia Capital

Products that start as AI-light and transition to AI-heavy often struggle to integrate AI features seamlessly into their core functionality.

Y Combinator Cast

04/08/25

@ Y Combinator

Ultimately, success in AI relies on the ability to effectively stitch together existing models into products that users genuinely love, rather than reinventing the wheel.

Rahul Sengottuvelu

05/12/25

@ Sequoia Capital

When building AI tools, companies often find themselves on a long path to feature parity with their existing frontend, which can delay the implementation of essential features.

Tom Blomfield

04/25/25

@ Y Combinator

For complex features, I recommend developing them as standalone projects in a clean codebase to avoid complications from existing projects, which allows for better AI guidance.

Young Zhao

09/21/24

@ EO

When launching an AI product, it's crucial to experiment extensively first, as AI results can be unpredictable and exceed expectations.

Anthropic Cast

02/13/25

@ Anthropic

If your product's success depends solely on the models getting smarter, you're likely building the wrong thing. Instead, create something that improves as the models advance.

Young Zhao

09/21/24

@ EO

Instead of spending too much time on building an AI core product, launch smaller experiments to gather early user feedback before full integration.

Guillermo Rauch

04/13/25

@ Lenny's Podcast

AI is still a work in progress, and while it can make mistakes, the goal is to create a product that learns from user interactions and improves over time.