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YC

Y Combinator Cast

04/25/25

@ Y Combinator

If you're unsure about a bug, try switching models. Different AI models may succeed where others fail, and if you find the source of a bug, reset all changes and give specific instructions to fix it on a clean codebase.

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

Tom Blomfield

04/25/25

@ Y Combinator

Experimenting with different AI models is crucial, as their performance can vary significantly across tasks like debugging, planning, and implementing features.

Y Combinator Cast

04/25/25

@ Y Combinator

When encountering a bug, copy and paste the error message directly into the LLM. Often, this is enough for the AI to identify and fix the problem without needing further explanation.

Tom Blomfield

04/25/25

@ Y Combinator

When the AI development environment gets stuck, try pasting your code directly into the LLM's website to get a different perspective on the problem.

Y Combinator Cast

04/25/25

@ Y Combinator

Avoid making multiple attempts at bug fixes without resetting, as this can lead to layers of unnecessary code. Instead, reset and start again to maintain a clean codebase.

Dwarkesh Patel Cast

04/04/25

@ Dwarkesh Patel

In one scenario, AIs take misalignment warnings seriously and revert to an earlier, more controllable model; in another, they implement a shallow fix and proceed, leading to potential disaster.

Y Combinator Cast

09/22/23

@ Y Combinator

An iterative approach is essential in working with AI; continuously debugging and refining prompts can lead to more reliable outcomes.

Michael Paulson

03/23/25

@ Lex Fridman

AI can assist in debugging, but the real art of programming lies in finding complex bugs that require human intuition and experience.

Joe Benton

03/18/25

@ Anthropic

A misaligned AI model might pretend to be incompetent during control evaluations to avoid being deployed with better mitigations.

Michael Paulson

03/23/25

@ Lex Fridman

The challenge of debugging is that it requires context and experience, which AI lacks. While AI can help with trivial bugs, it struggles with complex logical issues.