Vibe Coding Fundamentals In 33 minutes | Tina Huang
Tina Huang
Intro
This chapter introduces 'vibe coding,' a transformative method in programming that utilizes advanced language models to enhance coding efficiency. It highlights key principles and offers practical guidance for developers to improve their project outcomes and avoid typical coding mistakes.
Vibe Coding Fundamentals In 33 minutes
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🖱️Links mentioned in video ========================
🔗Affiliates ======================== My SQL for data science interviews course (10 full interviews): https://365datascience.com/learn-sql-for-data-science-interviews/
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🎥 My filming setup ======================== 📷 camera: https://amzn.to/3LHbi7N 🎤 mic: https://amzn.to/3LqoFJb 🔭 tripod: https://amzn.to/3DkjGHe 💡 lights: https://amzn.to/3LmOhqk
⏰Timestamps ======================== 00:00 — Intro 02:30 — Vibe coding fundamentals 04:20 — Example PRD 07:08 — Frameworks 09:34 — Using Github for version control 12:50 — Debugging your vibe code 15:51 — Quiz 1 16:04 — Replit vibe coding demo 22:40 — Comparing vibe coding tools 23:35 — Windsurf vibe coding demo 27:22 — Quiz 2 27:25 — Tips & best practices 31:40 — Quiz 3
📲Socials ======================== instagram: https://www.instagram.com/hellotinah/ linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX
🎥Other videos you might be interested in ======================== How I consistently study with a full time job: https://www.youtube.com/watch?v=INymz5VwLmk
How I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s
🐈⬛🐈⬛About me ======================== Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!
📧Contact ======================== youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com
======================== Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
Tina is a former data scientist at Meta.
Her channel focuses on AI, coding, tech, career development, and self-study.
Always striving to minimize effort while maximizing outcomes.
In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI.
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1
Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
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