41:18voice-driven programmingTalk
"Voice Driven Development: Who needs a keyboard anyway?" by Emily Shea
Strange Loop Conference
5 HN recommenders
Search results
- Category: AI, Machine Learning & Data
Results for “dev tools”
12 videos41:18
56:13jupyter notebooksTalk
I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)
O'Reilly
6 HN recommenders
4:51terminal data explorationDemo
VisiData Lightning Demo at PyCascades 2018
Saul Pwanson
6 HN recommenders
21:16reproducible researchTalk
Emacs + org-mode + python in reproducible research; SciPy 2013 Presentation
Enthought
5 HN recommenders
52:09
23:38reactive notebooksTalk
Interactive notebooks ~ Pluto.jl | Fons van der Plas | JuliaCon 2020
The Julia Programming Language
6 HN recommenders
39:26voice code editingTalk
"Cursorless: A spoken language for editing code" by Pokey Rule (Strange Loop 2023)
Strange Loop Conference
2 HN recommenders
2:29:05ai-assisted programmingPodcast
Cursor Team: Future of Programming with AI | Lex Fridman Podcast #447
Lex Fridman
2 HN recommenders
14:15
40:14llm agents in emacsDemo
S1E8: Show And Tell: Efrit: When Steve Gives Claude Full Access To 50 Years of Emacs Capabilities
Vibe Coding With Steve and Gene
1 HN recommender
8:05
4:41gpt-3 shellDemo
I made an GPT-powered Linux shell that guesses your bash command (and hallucinates crazy stuff)
River's Educational Channel
Discussed on HN
Sources and selection
Machine learning involves both the models and the data and systems around them. This collection spans neural networks, language models, computer vision, data engineering and the broader consequences of AI. Students can begin with an introductory topic; practitioners can use the subject links to find a more specific technical discussion.
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes