THE VIDEO SHELF · code analysis tooling
Stanford Seminar - Google's Steve Yegge on GROK
Steve Yegge's Stanford seminar on GROK, Google's internal large-scale, cross-language source code analysis system. It covers how the system helps with code search and understanding across Google's huge codebase.
Why HN readers recommended it
HN refers to it as the main public description of Google's internal code analysis tooling, and as a precursor of ideas like LSP.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Stanford Online
- Topic
- code analysis tooling
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 11
- Recommendation years in dataset
- 2013–2024
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.
Steve Yegge talking about the system he built at Google, called Grok: [VIDEO] . If we have anything half that good in the wider programming community in twenty years time, I will be very surprised.
dunk010 on Hacker News · 2018-10
In Ask HN: What are some of the best technical talks you've heard?I wouldn't want to use the term "best" because there are so many good ones in various areas, but this talk by Steve Yegge was both entertaining and informative. Stanford Seminar - Google's Steve Yegge on GROK (large scale source code analysis) [VIDEO]
michaelwww on Hacker News · 2013-04
In Ask HN: What's the best technical talk you've heard?Yes, and they've open sourced part of that here (at least, I think it is related, and is also called "Code Search"): [LINK] But, their public code search was not the same as the internal thing, as far as I know. The internal beast sounds …
SwellJoe on Hacker News · 2016-07
In Software Heritage
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.