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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.

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

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.

Rahul Sengottuvelu

05/12/25

@ Sequoia Capital

Instead of integrating every feature individually, focus on using your frontend capabilities to create a more efficient AI agent experience.

Rahul Sengottuvelu

05/12/25

@ Sequoia Capital

Creating a feature-complete AI agent simplifies the user experience and reduces frustration by supporting all tools simultaneously rather than one at a time.

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.

Y Combinator Cast

11/15/24

@ Y Combinator

To improve AI output, it's essential to break down complex tasks into smaller steps, as suggested by Jake Heller's approach.

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.

Rahul Sengottuvelu

05/12/25

@ Sequoia Capital

When building your own AI tools, you can create a navigation tree and focus on unreliable parts, enhancing the overall reliability of the agent.

a16z Cast

05/23/25

@ a16z

Developers should focus on the holistic behavior of AI applications at scale, rather than just performance checks on small datasets.

Shyam Sankar

04/23/25

@ a16z

To advance AI, we need to focus on building infrastructure that can handle edge cases, similar to the journey of self-driving cars, which have taken years to develop due to the complexities involved.