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Atmrix

About

JO

John Ousterhout

04/09/25

@ The Pragmatic Engineer

AI tools will make it easier to generate low-level code, improving autocomplete capabilities and potentially producing high-quality code.

Video

TP

The Philosophy of Software Design – with John Ousterhout

@ The Pragmatic Engineer

The Philosophy of Software Design – with John Ousterhout

04/09/25

Related Takeaways

SP

Sundar Pichai

06/05/25

@ Lex Fridman

AI tools can enhance programming productivity, allowing engineers to focus on creative problem-solving rather than repetitive tasks.

YC

Y Combinator Cast

09/22/23

@ Y Combinator

AI tools can help me code faster by allowing me to describe changes I want, like implementing a dark mode, and they will edit the code accordingly.

SN

Satya Nadella

05/22/25

@ Rowan Cheung

The rise of AI tools is addressing the software development deficit, allowing for more efficient code generation and management.

SH

Severin Hacker

05/19/25

@ 20VC with Harry Stebbings

AI tools are changing the landscape of software engineering, lowering the entry barrier and potentially increasing the number of people creating software.

YC

Y Combinator Cast

06/28/24

@ Y Combinator

AI tools can assist in coding, but the real-world complexities of software development require human insight and creativity to navigate effectively.

TD

Thomas Dohmke

04/09/25

@ EO

AI tools like GitHub Copilot make software development more accessible and significantly increase developer productivity by reducing the time needed to implement ideas.

a

a16z Cast

05/16/25

@ a16z

AI coding tools are transforming how developers seek help, moving from platforms like Stack Overflow to more advanced AI models that provide direct coding assistance.

MA

Marc Andreessen

01/26/25

@ Lex Fridman

AI coding tools are becoming extraordinarily effective, allowing anyone to learn coding quickly and significantly boosting productivity for both coders and non-coders.

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.