THE VIDEO SHELF · software scaling and objects
Alan Kay - Programming and Scaling
An Alan Kay talk on programming and scaling, covering theoretical limits of code size, engineering versus tinkering, and biological cells as inspiration for object-oriented design.
Why HN readers recommended it
HN fans call it one of Kay's best talks and recommend it for rethinking why programming paradigms have barely changed.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Colin McDonnell
- Topic
- software scaling and objects
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 8
- Recommendation years in dataset
- 2016–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
These aren't necessarily my absolute favorite talks, but they're great mind-altering talks a little off the beaten path so I'd like to highlight them: "Writing A Thumb Drive From Scratch" by Travis Goodspeed - [LINK] Excellent talk on the hardware side of security, goes into …
unimpressive on Hacker News · 2016-10
In Ask HN: What's your favorite tech talk?This is one of my favorite Alan Kay talks of all time (I think this is the right version, but at the time it wasn't on YouTube)... Programming and Scaling - Alan Kay [VIDEO] There's also one where he discusses anthropology and the human universals, …
espeed on Hacker News · 2018-10
In Soup – Alan Kay on ObjectsCheck out Alan Kay's perspective on this [0]. This talk is excellent and will cue you in on how to go about thinking about the fact that the way we program and view and understand computers, with the exception of recent advances in neural networks/LLMs, …
neuralkoi on Hacker News · 2026-07
In Ask HN: Any New Computer Ideas?
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.