The rise of AI in coding has transformed the landscape for developers, with 25% of Y Combinator's newest startup batch relying on AI to generate 95% of their code. These developers, while highly technical, have evolved from building products from scratch to enabling AI to assist with bulk coding tasks. However, the call for caution remains, as AI-generated code is prone to errors and security risks, necessitating the importance of developers still retaining strong coding skills to evaluate and adjust AI outputs effectively.
You have to have the taste and enough training to know that an LLM is spitting bad stuff or good stuff. In order to do good 'vibe coding', you still need to have taste and knowledge to judge good vs bad.
A year ago, they would have built their product from scratch - but now 95% of it is built by an AI.
It's not like we funded a bunch of non-technical founders. Every one of these people is highly technical, completely capable of building their own products from scratch.
Code generated from AI is far from perfect, and studies and reports have observed that some AI-generated code can insert security flaws in applications.
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