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Amjad Masad

10/18/24

@ Y Combinator

The current generation of programmers has more leverage than ever before, as learning to code even a little can significantly enhance their capabilities with AI tools.

Video

Now Anyone Can Code: How AI Agents Can Build Your Whole App

@ Y Combinator

Now Anyone Can Code: How AI Agents Can Build Your Whole App

10/18/24

Related Takeaways

Y Combinator Cast

03/06/25

@ Y Combinator

The current generation of founders, who have grown up with AI coding tools, are highly productive and capable of building complex products without traditional programming training.

Marc Andreessen

01/26/25

@ Lex Fridman

The future of coding is being revolutionized by AI, which is significantly improving productivity and making coding more accessible to non-coders.

Chris Williamson Cast

04/01/25

@ Chris Williamson

Programmers will leverage AI to enhance their capabilities rather than being replaced by it, allowing them to replace other jobs instead.

Michael Paulson

03/23/25

@ Lex Fridman

The challenge with AI in programming is that while it democratizes access to information, it may lead to a generation of programmers who rely too heavily on it and don't learn the fundamentals.

Scott Wu

05/04/25

@ Lenny's Podcast

Programming is only going to become more important as AI gets more powerful, emphasizing the need for engineers to instruct computers on what to do.

Y Combinator Cast

06/28/24

@ Y Combinator

Learning to code enhances logical thinking and problem-solving skills, making it beneficial even if AI can automate coding tasks in the future.

Google for Developers Cast

05/23/25

@ Google for Developers

The biggest opportunity for developers in the AI era is that individuals who never thought they could write code will start creating lots of code.

a16z Cast

05/16/25

@ a16z

The integration of AI in coding is creating a new dynamic where developers can focus on higher-level problem-solving rather than just writing code.

a16z Cast

05/16/25

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When using AI for coding, there is often a gap between the code generated by AI and the user's ability to modify it effectively, highlighting the need for better tools.