THE VIDEO SHELF · conway's law
The Only Unbreakable Law
Casey Muratori's lecture, originally given at the Technical University of Madrid, arguing that Conway's Law is the only viable candidate for a true law of software architecture. He explains how software mimics the organization over time, using examples like Windows' multiple volume controls.
Why HN readers recommended it
HN treats it as the definitive explanation of Conway's Law and links it in almost any thread about org structure shaping software.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Molly Rocket
- Topic
- conway's law
- Format
- lecture
- Level
- general
- HN recommenders in dataset
- 12
- HN mentions in dataset
- 20
- Recommendation years in dataset
- 2022–2026
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.
Some great examples in "Conway's Nightmare" [VIDEO] My favorite from memory is that Windows now has five completely different volume control UIs, each of which can be traced directly to distinct product teams and their organizational dynamics across time. This video makes goes futher and …
perrygeo on Hacker News · 2023-04
In Conway’s LawCasey Muratori has an excellent lecture on this same topic, which draws many of the same conclusions as this article but goes into more depth on why it happens and what it means to you in a practical sense. ( [VIDEO] , skip to 15:30 …
fwlr on Hacker News · 2023-07
In The Most Powerful Law in SoftwareIf you want to dig into Conway's law and its implications, I can't recommend this video essay by Casey Muratori enough: [VIDEO] Fair warning though, you'll lose all hope that companies like Microsoft will ever manage to produce anything that they don't then ruin.
krig on Hacker News · 2024-03
In Leaving LinkedIn
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.