Enter the Matrix • Conor Hoekstra • YOW! 2025

This presentation was recorded at YOW! Australia 2025. #GOTOcon #YOW
https://yowcon.com

Conor Hoekstra - Research Scientist at NVIDIA @code_report 

RESOURCES
https://bsky.app/profile/codereport.bsky.social
https://mastodon.social/@code_report
https://twitter.com/code_report
https://github.com/codereport
https://conorshakory.com

Links
https://codereport.github.io/vibing
https://adspthepodcast.com
https://www.arraycast.com
https://r4podcast.com
https://tacittalk.com
https://github.com/codereport/Content
https://github.com/codereport/blink
https://bqnprogramming.com
https://tryapl.org
https://www.uiua.org
https://www.jsoftware.com
https://github.com/NVlabs/parrot
https://developer.nvidia.com/thrust

ABSTRACT
In this talk, we dive into the intersection of array programming, AI-assisted development, and high-performance computing to unlock exponential productivity gains. Using a real-world financial dashboard and technical screening system built with Cursor, I’ll demonstrate how leveraging LLMs can dramatically accelerate development, turning ambitious ideas into reality at an unprecedented pace.

Along the way, we’ll uncover the practical power of array languages and combinators for high-performance, expressive code. And because no talk titled Enter the Matrix would be complete without it—expect some entertaining Matrix-themed visuals to keep things fun. If you've ever wanted to supercharge your coding abilities and see how AI and array programming can make you a 100x developer, this is the session for you. [...]

TIMECODES
00:00 Intro
03:22 Agenda
04:26 AI
06:47 Types of AI coding
09:12 Tips for AI coding
18:44 Demo
24:27 Array
25:10 Demo
36:52 GPU
38:55 Summary
40:02 Outro

See the slides and read the full abstract here:
https://yowcon.com/brisbane-2025/sessions/3631

Download slides here:
https://codereport.github.io/vibing/enter_the_matrix_yow/index.html

RECOMMENDED BOOKS
Michael Feathers • AI Assisted Programming • https://leanpub.com/ai-assisted-programming
James Phoenix & Mike Taylor • Prompt Engineering for Generative AI • https://amzn.to/43cFDqO
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjP
Leo Porter & Daniel Zingaro • Learn AI-assisted Python Programming • https://amzn.to/3Pv3Hx7

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