vibe coding — Building software by describing what you want to an AI in plain language and steering the result, instead of writing every line yourself.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
Why it matters
Grounds the vibe-coding discourse in what founders shipping today report about debugging, taste, and where LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition →-written code breaks down.
Transcript
Andrej Karpathy recently coined the term “vibe coding” to describe how LLMs are getting so good that devs can simply “give in to the vibes, embrace exponentials, and forget that the code even exists.” We dive into this new way of programming and what it means for builders in the age of AI.
Apply to Y Combinator: https://ycombinator.com/apply
Chapters (Powered by https://bit.ly/chapterme-yc) -
0:00 Intro
0:42 What is vibe coding?
1:00 What founders in the current YC batch are saying
4:35 Debugging and building systems
6:59 The models people are using now
10:01 What percentage of code is being written by LLM’s?
11:58 What changed and what stayed the same?
18:08 How Triplebyte did candidate assessments and how would that change in this era
21:37 Key skills that will remain relevant
23:01 How do you develop taste without classical training?
30:59 Outro
