Versatile Full-Stack Engineer with 5+ years of experience building and scaling modern web and mobile applications, with a strong frontend focus. Civil Engineer
👨🏽💻 Just shipped tailwind-srounded!
Opt-in squircle / superellipse corners for Tailwind v4.
Drop in srounded-* and get buttery iOS-style smooth corners (with perfect fallback).
npm i tailwind-srounded
→ https://t.co/at0KFnfNRF
#TailwindCSS#CSS#WebDev
The no.1 thing I love about @expo is its OTA/“soft-update” feature (as Ini would call it).
Saves you tons of embarrassment and time — no waiting for Android reviews!
@jorcanola just dropped an awesome article on this 👇
https://t.co/44qlFcozOn
Hey ambitious devs, this weekend you should expand your skills by building your own LLM from scratch with Python. 🐍
freeCodeCamp just dropped a 6-hour intermediate course on this. Here are this week's five freeCodeCamp resources that are worth your time:
1. freeCodeCamp just published an in-depth Python course that will walk you through training your own Large Language Model. If you have some basic programming skills and want to get deeper into Machine Learning, this is an excellent place to start. You'll learn about key concepts like Reward Modeling, Supervised Fine-Tuning, Mixture-of-Experts Layers, RMSNorm, RoPE, KV caching, and more. Dive in. (6 hour YouTube course): https://t.co/HXVNrkVGrb
2. We also published a Python course that will help you build production-ready AI systems. This no-nonsense course will take you step by step through building a sophisticated data pipeline that scrapes training data, cleans it up, and ensures its integrity before feeding it into your model. I love this dude's relentless teaching style. (2 hour YouTube course): https://t.co/lnGfMnbJMq
3. On this week's freeCodeCamp podcast I interview Ihechikara Abba, a software engineer with a Chess Elo of 2285, which puts him among top players. We talk about his recent freeCodeCamp course on checkmate patterns, and how improving your chess game can also improve your programming. He also shares tips for getting into embedded systems development with Arduino. (1 hour watch or listen in your favorite podcast app): https://t.co/jaOcpZ3UL8
4. freeCodeCamp also published a course on building advanced AI agents. You'll use Python to implement interactive voice agents and intelligent research assistants. This course will even expose you to multi-agent workflows. You'll use sample codebases and popular tools like LangChain and LiveKit to code along at home. (1 hour YouTube course): https://t.co/h074rMry43
5. Memory leaks are one of the most common performance issues with React apps. This JavaScript tutorial will walk you through the most common ways they afflict your apps. Then it'll equip you with the tools you need to track memory leaks down and fix them. It's chock full of code examples for Event Listeners, Timers, Subscriptions, and Async Operations. (15 minute read): https://t.co/0F1fsYPfaY
These are just some of the many open source learning resources the freeCodeCamp community published this week. As you may know, we also launched daily coding challenges, which you can solve in Python or JavaScript – right inside the freeCodeCamp iPhone/Android app. We've got a lot of pots cooking, with tons more courses on the way. Please consider joining the 10,881 kind folks who support our charity and our mission: https://t.co/PJXlqTfhI9
Quote of the Week:
“If you don't like playing the social media game, contributing code to open source projects can serve as an alternative to building up a social media presence.” — Software Engineer Ihechikara Abba on this week's freeCodeCamp podcast
Happy coding.
RAG-Anything: #1 on GitHub Trending!
A huge thank you to the open-source community for your incredible support—clearly, the demand for multi-modal RAG is immense!
Easy-to-use: https://t.co/HFO0K4xykl
Try RAG-Anything: The ultimate All-in-One RAG Framework
🌟 Key Features of RAG-Anything 🌟
🧩 Unified Multimodal Retrieval
- Supports text, images, tables, and equations in a single unified framework.
- Seamlessly integrates diverse data formats into a cohesive retrieval pipeline.
🌐 Dual-Graph Construction
- Builds cross-modal and text-based knowledge graphs.
- Accurately aligns textual and non-textual data for deeper insights.
📚 Structured Context Injection
- Enhances long-document understanding with hierarchical structures.
- Efficiently captures dispersed multimodal evidence for more comprehensive analysis.
🔍 Hybrid Retrieval
- Combines structural navigation with semantic similarity matching.
- Balances explicit relationships with nuanced semantic connections.
🔧 Scalable & Generalizable
- A unified design eliminates the need for modality-specific architectures.
- Easily adapts to various domains and data types.
@david_patrick01@cardtonic But, this is not the real score is just percentile based on all people that have taken the assessment on testgorilla so, you can't really rely on this
@CitizenGOAfrica Why can't you ask US about why they fund terrorist like Boko-haram instead making religious claims, didn't you see when US Senate read out that USaid fund terrorist including Boko-haram
🚀 After deliberating on innovative ideas, our team of four builders is ready to take on the challenge of revolutionizing #EduTech at the #AIEduHack Hackathon! 💡✨ Are you ready to meet the team? Let’s make a difference together! 🌟👩💻👨💻 @hackerxafrica
@AskMichaelTaiwo Unique ID: 541969
1.I’ve always dreamed of using world-class education to solve Nigeria’s energy crisis. With a first-class degree in Mechanical Engineering from UI and a passion for renewable energy, I’m ready, but financial hurdles like the GRE cost stand in the way.
1/5