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Atmrix

About

PK

Pete Koomen

05/23/25

@ Y Combinator

We're using outdated software development techniques to build AI features, which prevents us from fully leveraging AI's potential.

Video

YC

AI Apps Are Broken — Here's How To Fix Them

@ Y Combinator

AI Apps Are Broken — Here's How To Fix Them

05/23/25

Related Takeaways

RS

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.

JH

Jake Heller

10/04/24

@ Y Combinator

Many companies still lack an understanding of the advancements in AI technology, often repeating outdated beliefs about its limitations, which can hinder innovation.

RS

Rahul Sengottuvelu

05/12/25

@ Sequoia Capital

The disconnect between a well-developed frontend experience and the slower development of AI tools leads to user confusion about which features are supported.

RS

Rahul Sengottuvelu

05/12/25

@ Sequoia Capital

Many AI agent assistants fail because they are built with incomplete features, leading to frustrating user experiences.

DH

Demis Hassabis

05/23/25

@ Google for Developers

To maximize improvement in AI, we need to scale existing techniques to their limits while also investing in future innovations that could lead to significant advancements.

YC

Y Combinator Cast

11/01/24

@ Y Combinator

Many companies, especially older ones, are not taking AI advancements seriously, which may be due to a generational gap in understanding the technology's rapid evolution.

L

LangChain Cast

03/27/25

@ LangChain

The current AI models still struggle with basic tasks, indicating a need for further optimization and development within the industry.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

The current limitations in AI performance stem from a lack of context and the inability to handle complex, multi-file changes, rather than just reliability issues.

a

a16z Cast

05/16/25

@ a16z

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.