THE VIDEO SHELF · problem solving and design thinking
Hammock Driven Development - Rich Hickey
Rich Hickey's philosophical talk from the first Clojure Conj in 2010. He argues that good design comes from deliberate, away-from-keyboard thinking, and describes how to feed the background mind so it solves problems.
Why HN readers recommended it
HN returns to it constantly as permission and method for thinking deeply before coding, and as an antidote to always-working anxiety.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- ClojureTV
- Topic
- problem solving and design thinking
- Format
- talk
- Level
- general
- HN recommenders in dataset
- 12
- HN mentions in dataset
- 20
- Recommendation years in dataset
- 2014–2024
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.
That and Hammock Driven Development: [VIDEO] Both of these talks are in my top 5. Edit (okay, here are the other 3): * All the Little Things by Sandi Metz [LINK] * Programming is terrible—Lessons learned from a life wasted. [LINK] * Some talk I …
hire_charts on Hacker News · 2016-02
In Rich Hickey FanclubThis is a classic and hilarious series of posts on the foolhardiness of the TDD approach to software design: [LINK] Personally I prefer Rich Hickey's "Hammock Driven Development": [VIDEO]
cageface on Hacker News · 2014-09
In The End of Agile: Death by Over-Simplification"don't get stuck" reminds me of the feynman method of problem solving: 1. Write down the problem. 2. Think very hard. 3. Write down the answer. Rich Hickey's Hammock Driven Development, [VIDEO] , is IMO very good for actually not getting stuck in a bad …
bjwbell on Hacker News · 2015-03
In Stanford study shows success of different programming styles in CS class
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.