For Developers
Tools, tutorials, and practical resources for beginner and intermediate developers.
-
How Retrieval-Augmented Fine-Tuning (RAFT) Works?
Key Points: RAFT combines Retrieval-Augmented Generation (RAG) and fine-tuning to enhance large language models (LLMs) for specialized domains. It seems likely that RAFT improves accuracy by training models to focus on relevant information while ignoring distractions. Research suggests RAFT reduces AI “hallucinations” by grounding responses in verified data. It’s particularly…
Read More » -
Cline: 5 Revolutionary Features That Make It a Must-Have AI Coding Assistants
Hey there, fellow code wranglers! Ever feel like your Coding assistant is more like a suggestion box than a partner in crime? You know, the kind that throws out ideas but doesn’t really get what you’re building? Well, buckle up, because we’re diving into the world of Cline, the What…
Read More » -
Why Do LLMs Always Pick React.js? (A Developer’s Guide to AI’s Favorite Framework)
Key Point: Large Language Models (LLMs) often generate React code because it’s the most popular JavaScript framework, dominating their training data. This bias can lead to outdated code or less exposure to other frameworks, but it reflects React’s widespread use in web development. Developers should verify AI-generated code and stay…
Read More » -
What is Agentic RAG? Your Guide to Smarter AI with a Side of Humor
Agentic RAG sounds like a sci-fi weapon, but it’s one of the smartest things happening in AI right now. If you’ve ever wished your AI could think more like a human and fetch info like a pro—buckle up, we’re diving in. Today, we’re diving into Agentic Retrieval Augmented Generation (Agentic…
Read More » -
Why AI Chips Need More Than Just CPUs: A Developer’s Deep Dive
Hey there, fellow code wizards! Ever wondered why your trusty CPU, the brain of your computer, isn’t cutting it when it comes to AI? Well, buckle up, because we’re about to dive into the wild world of AI chips and why they’re more than just a fancy marketing term. Spoiler…
Read More » -
MCP vs API: Simplifying AI Agent Integration with External Data
Hey there, tech enthusiasts and code wranglers! Ever wondered how AI agents get their hands on the data they need to be truly helpful? Whether it’s fetching your latest emails, checking the weather, or diving into your project files, AI Agent Integration needs to connect with the outside world. Traditionally,…
Read More » -
How Long Does It Take to Become a Software Developer in 2025?
Hey there, future code-slinger! So, you’re thinking about diving into the world of software development? That’s awesome! It’s like signing up to be a digital wizard, crafting apps and websites that make the world tick. But let’s get to the question burning a hole in your brain: how long does…
Read More » -
9 Free Hugging Face Courses to Supercharge Your AI Skills
Picture this: You’re a developer, sipping your third coffee, staring at your screen, thinking, “How do I jump on this AI bandwagon without selling a kidney?” Well, friend, Hugging Face Courses has your back. They’ve just unleashed nine free AI courses that are like finding a cheat code for the…
Read More » -
OKRs or KPIs? A Guide for Modern Developer Teams
Key Points: OKRs (Objectives and Key Results) help developer teams set ambitious, measurable goals to align with company vision, like improving user experience or code quality. KPIs (Key Performance Indicators) track ongoing performance metrics, such as deployment frequency or bug rates, to ensure team health and efficiency. Both are valuable:…
Read More » -
Training Models: Inside the Genius of AI Learning for Devs
Hey devs! Curious how Training Models AI learn from data and get smarter with every iteration? You know, the ones that can outsmart you at chess, churn out poetry, or (sometimes) predict stock prices with eerie accuracy. Spoiler: it’s not magic—it’s training. And today, we’re diving headfirst into the wild,…
Read More »
