What Is MCP (Model Context Protocol)? Connecting AI to Your Tools
MCP is the USB-C of AI integrations: one open standard so any assistant can talk to any tool. Here is how it works, why it won, and what to watch out for.
AI Coding & Dev Tools — Page 2
What Is a Vector Database, and When Do You Need One?
A vector database stores embeddings and finds the most similar ones fast. Here is what it actually does, how nearest-neighbor search works, and when you need one versus a simpler option.
How CLIP and Multimodal Search Work: One Space for Text and Images
Searching photos by typing a description, or matching an image to a caption, relies on one clever idea: putting text and images into the same mathematical space. Here is how CLIP made that work.
How to Design a RAG System (System Design, Explained)
Designing a RAG system is mostly a search problem with a language model bolted on the end. Here is how the pieces fit together in production — and the design choices that decide whether it works.
Deploying quantized models on Amazon SageMaker AI with Unsloth
An AWS blog post explains four deployment patterns for serving Unsloth-quantized models on AWS infrastructure, covering EC2, SageMaker AI endpoints, EKS, and ECS.
Profiling in PyTorch (Part 3): Attention is all you profile
The article delves into various profiling methods in PyTorch, emphasizing attention mechanisms in models to optimize performance.
MCP tool design: Practical approaches and tradeoffs
This blog post addresses common mistakes in MCP tool design and offers practical strategies for effective context engineering.
What Is RAG? Retrieval-Augmented Generation Explained Simply
RAG is the technique that lets a language model answer using your own documents instead of only what it memorized in training. Here is how it works and why almost every serious AI app uses it.
GitHub Copilot: The AI Pair Programmer That Went Mainstream
GitHub Copilot brought AI code completion to millions of developers inside their editors. Here is what it does well, where it needs supervision, and how it fits a modern workflow.
What Is Fine-Tuning? Customizing AI Models, Explained
Fine-tuning takes a general-purpose AI model and specializes it for your task, tone, or format by training it further on your examples. Here is when it helps — and when prompting or RAG is the better tool.
Cursor: The AI-First Code Editor Developers Are Switching To
Cursor rethinks the code editor around AI rather than bolting AI onto one. With codebase-aware chat and multi-file edits, it pushed the 'AI-native IDE' idea into the mainstream.
What Are Embeddings and Vector Search? A Plain-English Guide
Embeddings are how AI turns words into numbers that capture meaning — the quiet engine behind semantic search, recommendations, and RAG. Here is the concept without the math.