AI Articles — CodersSecret

Guides on AI, LLMs, Claude, MCP servers, prompting, local AI stacks, and building with modern AI tools.

• MCP Security in Production: How to Safely Run AI Agents with Tools, OAuth, and Gateways — Learn how to secure MCP-based AI agents with OAuth, token audience validation, gateway policy, tool permissions, SSRF protection, sandboxing, and audit logs.
• Vector Databases Explained: Embeddings, Similarity Search, and When You Need One — Vector databases power semantic search, recommendation engines, and RAG pipelines. Learn how embeddings work, the HNSW algorithm behind similarity search, chunking strategies, and when pgvector is enough vs when you need Pinecone.
• Fine-Tuning vs RAG vs Prompt Engineering: Which AI Strategy Do You Need? — Your AI project needs domain-specific knowledge. Should you fine-tune a model, build a RAG pipeline, or engineer better prompts? This decision matrix covers cost, accuracy, latency, maintenance, and when each approach wins.
• Building AI Agents with Claude: From Chatbot to Autonomous Worker — Transform a simple chatbot into an autonomous agent that uses tools, maintains memory, recovers from errors, and orchestrates multi-step workflows. Practical Python guide using Claude API with production-ready patterns.
• Prompt Engineering Patterns for Developers: Beyond Basic Prompts — Stop guessing with prompts. Learn 8 battle-tested prompt engineering patterns used in production AI systems — chain-of-thought, few-shot, structured output, guardrails, RAG, and tool use — with real Python code using the Anthropic SDK.
• Claude Token Costs Explained: Pricing, Caching, Claude Code & MCP — Learn Claude token costs in 2026: Opus 4.7 pricing, prompt caching, Claude Code context, MCP overhead, thinking tokens, data residency, tool costs, and practical ways to reduce spend.
• Claude Design: Anthropic's AI Design Tool That Turns Prompts into Prototypes — Claude Design lets you create polished prototypes, pitch decks, and landing pages through conversation. Learn what it is, how to use it, pricing, Canva integration, Claude Code handoff, and how it compares to Figma.
• Claude Code Prompting Guide: Build Better Software 10x Faster — Master the art of prompting Claude Code. Learn the patterns, structures, and techniques that turn vague instructions into production-grade code — with real before/after examples from building this very blog.
• Build a Local AI App Stack: RAG, Function Calling, and Agents Without Cloud APIs — Go beyond chatting with a local LLM. Build real AI applications — RAG for document Q&A, function calling for tool use, and autonomous agents — all running 100% locally with zero API costs.
• Run Google Gemma 4 Locally: Complete Setup Guide for Windows, macOS, and Linux — Step-by-step guide to running Google Gemma 4 on your own machine using Ollama, llama.cpp, and Hugging Face Transformers. Covers hardware requirements, quantization, GPU acceleration, and practical usage.
• MCP Servers: The Universal Plugin System for AI Agents — Learn what the Model Context Protocol (MCP) is, why it matters for AI development, and how to build your own MCP server that gives AI agents access to any tool or data source.