code readability
13:29!!Con 2016 - How I Code and Use a Computer at 1,000 WPM!! By Sina Bahram
11K views • 10 years ago
Confreaks
A short !!Con 2016 talk by blind developer Sina Bahram on how he uses a computer and writes code with a screen reader at about 1,000 words per minute. He plays how common interfaces sound and challenges the audience to go a day using only the keyboard.
12:09How I Fixed a 10 Year Old Guitar Hero Bug Without the Source Code
404K views • 9 years ago
ExileLord
A reverse engineer walks through fixing a ten-year-old bug in Guitar Hero III without access to its source code, using a disassembler and decompiler. It is technical but explained step by step.
10:23Andrew Sorensen Keynote: "The Concert Programmer" - OSCON 2014
157K views • 12 years ago
O'Reilly
Andrew Sorensen's OSCON 2014 keynote in which he live-codes generative music on stage using his Impromptu environment while narrating his computational and musical choices. It imagines concert programmers as a performing art.
13:45A 10x faster TypeScript
608K views • 1 year ago
Microsoft Developer
Anders Hejlsberg introduces the native port of the TypeScript compiler, written in Go, which promises roughly 10x faster tooling. He demos compiling VS Code and explains where the speedup comes from.
16:04Jonathan Diegelman - Modeling Spacecraft Separation Dynamics in Julia
12K views • 5 years ago
The Julia Programming Language
A JuliaCon talk by a NASA Launch Services Program engineer on modeling spacecraft separation dynamics in Julia. He describes replacing a Simulink-based workflow for checking launch vehicle separation requirements with Julia and ModelingToolkit, with large speedups and much shorter code.
8:34APL at Julia's Speed | Shashi Gowda | JuliaCon 2016
3K views • 10 years ago
The Julia Programming Language
A JuliaCon 2016 talk by Shashi Gowda showing an APL implementation in Julia. APL code is translated to Julia and JIT compiled to machine code.
17:55Building the Software 2 0 Stack (Andrej Karpathy)
73K views • 8 years ago
Databricks
Andrej Karpathy's Databricks talk on Software 2.0, the shift from human-written code to code produced by neural network training. It covers how developer work moves toward curating datasets, the advantages and challenges, and opportunities for new tooling.
17:27Human brain mapping and brain decoding. | Jack Gallant | TEDxSanFrancisco
175K views • 9 years ago
TEDx Talks
Berkeley neuroscientist Jack Gallant shows how fMRI brain mapping can be used to decode what a person sees, with visualizations of brain activity and its implications.
18:12Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford
311K views • 1 year ago
AI Engineer
Yegor Denisov-Blanch of Stanford presents a study of nearly 100,000 developers at hundreds of companies, measuring how AI affects productivity from commit data. It finds an average boost of about 20% with wide variance by codebase, task complexity and stack.