THE VIDEO SHELF · history of software ideas
Old Is the New New • Kevlin Henney • GOTO 2018
Kevlin Henney's GOTO 2018 talk argues that much of what looks new in software is a recycling of concepts with long histories. It draws on history to show the slow, steady current beneath constant churn in frameworks and trends.
Why HN readers recommended it
HN recommends it for historical perspective on software ideas and for dispelling myths such as the origins of waterfall.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- GOTO Conferences
- Topic
- history of software ideas
- Format
- talk
- Level
- general
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 5
- Recommendation years in dataset
- 2018–2020
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.
There's a talk well worth watching by Kevlin Henney called 'Old Is the New New' [1], where he points out that waterfall was initially conceived with design iteration in mind and yet that part was just essentially forgotten and replaced by something overly-simplified in common …
Fr0styMatt88 on Hacker News · 2019-09
In AgileFall – When Waterfall Sneaks Back into AgileYou remind me of this Kevlin Henney talks that manages to cover a rather big range of programming concepts that keep getting recycled as the big new thing [VIDEO]
lugg on Hacker News · 2019-10
In “Special register groups” invaded computer dictionaries for decadesThe points on the fluff in particular resonate with me because idespite being a fairly good software engineer, I would say it was only recently I truly started seeing past the fluff. However, typing this out, I realise I would have said the same thing …
kqr on Hacker News · 2020-03
In How I became a better programmer (2017)
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.