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Coding in Public
2024. 6. 25.
Learn CSS Grid in 18 minutes if you're already familiar with flexbox. π Key Links π - Github: https://github.com/coding-in-public/intro-to-grid - https://css-tricks.com/snippets/css/complete-guide-grid/ - 5 Grid examples: https://youtu.be/uL36xtDcGGM --------------------------------------- π Connect With Me π - Website: https://codinginpublic.dev - Blog: https://chrispennington.blog - Twitter: https://twitter.com/cpenned - Patreon: https://www.patreon.com/coding_in_public - Buy Me a Coffee: https://www.buymeacoffee.com/chrispennington
Cursor is an FREE Integrated Development Environment (IDE) designed for collaborative programming with the assistance of a powerful AI. It allows for real-time chats, code edits, and code generation directly within the editor window. Cursor supports advanced features like auto-debugging, linting, and repo-wide understanding. It integrates AI models, including GPT-4, to provide intelligent responses and code suggestions. Additionally, Cursor is secure, offers a Pro version with faster GPT-4 access, and is compatible with VSCode extensions. Follow Me On π YouTube: https://www.youtube.com/@huxnwebdev GitHub: https://github.com/huxn-webdev Twitter: https://twitter.com/huxnwebdev Instagram: β 00:00 - Intro 00:10 - What is Cursor 00:50 - Is Cursor Free 1:15 - Pricing 1:33 - Features 2:12 - Installation 2:58 - Code Generation 4:24 - Ask Anything From AI 5:08 - Find Bugs 5:36 - Outro
2024. 2. 17.
π λ©€λ²μ κ°μ κ°μ¬ν©λλ€! seongjun Minλ, jminλ, κΉλ―Όμ€λ, μ¨μμ¨μλ, For my somethingλ, junλ, kan58danλ, νμ€νλ, λ건νΈλ, kennyλ, Jasonλ, orange007λ, Toots Kimλ, Economicλ, Charles Gardesλ, λλΉλλ°λ€κ²‘μλ, Yechan Kimλ π λλ¬λΈ λλ¬κ°κΈ° https://www.nullable.cc/ π₯ μ‘μν μ±λμ κ°μ νμ¬ ννμ λλ €λ³΄μΈμ. https://www.youtube.com/channel/UCSQRF8yIhSMVRXhIqLxQnsw/join π μΆκ°μμ γμ½κ² μ€λͺ ν μλ°μ€ν¬λ¦½νΈγ 보λ¬κ°κΈ° μμ€24: https://www.aladin.co.kr/shop/wproduct.aspx?ItemId=344435187 κ΅λ³΄λ¬Έκ³ : https://product.kyobobook.co.kr/detail/S000213996137 μλΌλ: https://www.aladin.co.kr/shop/wproduct.aspx?ItemId=344435187 π μΆκ°μμ γUX λμμΈμ λͺ¨λ κ²γ λ³΄λ¬ κ°κΈ° κ΅λ³΄λ¬Έκ³ https://product.kyobobook.co.kr/detail/S000001842178 μμ€24 https://www.yes24.com/Product/Goods/99397396 μλΌλ https://www.aladin.co.kr/m/mproduct.aspx?ItemId=269572938 π© λΉμ¦λμ€ λ¬Έμ : joshephan0204@gmail.com π λμν°νλΌμ΄μ¦: https://nullenterprise.com ποΈ νλ μ€μΉ: https://flexweb.io/ π λΈλ‘κ·Έ: https://hansanghoon.com/
2024. 8. 14.
Learn how to push all the caching strategies explored so far to the max and provide a UI with instant search and navigation π€© Play with this demo π https://remix-movies.pages.dev/ Checkout the code π https://github.com/remix-run/example-movies 00:00 - Search logic overview 02:40 - Search demonstration 05:12 - Optimizing search with IndexedDB 09:35 - Optimized search demonstration 13:11 - Deploying the application 15:38 - Final thoughts Learn more at https://remix.run
2024. 1. 24.
Data Mesh bridges the gap between OLAP (Online Analytical Processing) and OLTP (Online Transactional Processing), decentralizing data and empowering teams to handle both operational and analytical data. OLTP manages real-time transactions, while OLAP supports large-scale data analysis. Understanding their roles is key to navigating the Data Mesh evolution. https://www.linkedin.com/in/bytemonk/ https://www.youtube.com/playlist?list=PLJq-63ZRPdBt423WbyAD1YZO0Ljo1pzvY https://www.youtube.com/playlist?list=PLJq-63ZRPdBssWTtcUlbngD_O5HaxXu6k https://www.youtube.com/playlist?list=PLJq-63ZRPdBu38EjXRXzyPat3sYMHbIWU https://www.youtube.com/playlist?list=PLJq-63ZRPdBuo5zjv9bPNLIks4tfd0Pui https://www.youtube.com/playlist?list=PLJq-63ZRPdBsPWE24vdpmgeRFMRQyjvvj https://www.youtube.com/playlist?list=PLJq-63ZRPdBslxJd-ZT12BNBDqGZgFo58 AWS Certification: AWS Certified Cloud Practioner: https://youtu.be/wF1pldkQrOY AWS Certified Solution Architect Associate: https://youtu.be/GzomXNLFgkk AWS Certified Solution Architect Professional: https://youtu.be/KFZrBxSA9tI #datamesh #olap #oltp #SystemDesign
2024. 9. 15.
π OpenAI's Game-Changing API Update: 100% Reliable JSON Outputs Explained! In this video, we delve into OpenAI's latest API update introducing structured outputs. We explore how it differs from JSON mode by ensuring outputs conform to provided schemas, and discuss its implications for developers. Key topics include function calling, response format parameters, and safety measures. We also cover limitations like additional latency on first requests and potential model hallucinations. Discover how this innovation can simplify data extraction and enhance application reliability. 00:00 Introduction to OpenAI's Structured Outputs 00:11 Understanding JSON Mode vs. Structured Outputs 00:38 Frameworks and Evaluation 01:27 Accessing Structured Outputs: Function Calling 02:56 Accessing Structured Outputs: Response Format Parameter 03:39 SDK Support and Use Cases 03:48 Generating Dynamic UIs with JSON Schema 04:59 Reasoning Steps and Data Extraction 06:31 Technical Details and Limitations 08:37 Availability and Final Thoughts
2024. 8. 6.
Join this channel to get access to perks: https://www.youtube.com/@AICodeKing/join In this video, I'll be fully testing the New Yi-Coder Models (1.5B, 9B) to check if it's really good. I'll also be trying to find out if it can really beat Llama-3.1, Claude 3.5 Sonnet, GPT-4O, DeepSeek & Qwen-2 in coding tests. Yi-Coder model is fully opensource and can be used for FREE. Yi-Coder is even better in Coding Tasks and is also really good at doing Text-To-Application, Text-To-Frontend and other things as well. I'll be testing it to find out if it can really beat other LLMs and i'll also be telling you that how you can use it. ----- Key Takeaways: π₯ Yi-Coder Models Launched: Discover the new open-source coding models from Yi-Coder, featuring powerful AI coding tools with fewer than 10 billion parameters. π» Two Coding-Specific Models: Yi-Coder introduces a 9 billion parameter model and a lightweight 1.5 billion model, both perfect for coding on any computer! π Outperforms Competition: Yi-Coder-9B surpasses top models like CodeQwen 7B, CodeGeex 9B, and even rivals DeepSeek-Coder 33B in benchmark results. π 128K Token Context Window: The large context window enables project-level code comprehension, making these models ideal for handling large-scale coding projects. π Live Benchmark Results: Yi-Coder beats major models in Live Code, MBPP, CRUXEval, and more, setting new standards in AI-powered code generation. π― Performance on Autocompletion: The 1.5b model excels at autocompletion and basic coding tasks, even on simple computers. Ideal for developers looking for quick and efficient code suggestions. π Practical Testing: See how these models perform in real-world coding challenges like HTML, Python, and JS tasks, showing their strengths and limitations. ----- Timestamps: 00:00 - Introduction 00:08 - About New Yi-Coder Models 03:08 - Testing 06:57 - Conclusion 07:49 - Ending
2024. 9. 7.