Explore Claude Code guides and tutorials on vybecoding.ai. Each guide is a structured, multi-lesson course covering practical techniques, real-world examples, and hands-on exercises for developers at every skill level. Whether you are just getting started with Claude Code or looking to deepen your expertise, these guides provide the depth and clarity to move forward with confidence.
A technical 2026 comparison of Cursor 3's Agents Window and Claude Code across autonomy, planning, parallelism, verification, and team fit. Verdict: Cursor wins the visual multi-agent workflow; Claude Code keeps the agentic edge on deeper autonomous execution.
Claude Desktop Model Swap: OpenRouter, Foundry, and Local Models Overview As of April 2026, Anthropic does not ship a native "Claude Desktop" application with built-in model provider switching.
Claude Cowork + Obsidian: The Under 1-Minute Setup (and What It Unlocks) You create an Obsidian vault, point Claude Cowork at the same folder, and within sixty seconds you have an AI that reads, writes, and reorganises your notes the way a...
RAG in Production: The Minimal, Correct Implementation for LLM Apps RAG (Retrieval-Augmented Generation) powers every LLM app that works with custom data.
Production Claude: Building with the Anthropic SDK Beyond the Chat Interface Claude Code is great for development work, but production AI apps need the Anthropic SDK directly.
Build Your First MCP Server in 30 Minutes: The Practical Guide MCP (Model Context Protocol) has reached 97 million installs. It's the standard way to extend Claude with custom tools, data sources, and reusable prompts.
CLAUDE.md Mastery: Writing Project Instructions That Claude Actually Follows Every Claude Code session loads a single CLAUDE.md file into the context window.
LLMOps: Instrumenting Your Multi-Agent Stack for Production When your agent calls a tool that calls another agent that calls an LLM and something breaks, where do you look?
Google's A2A Protocol: How Agents Talk to Each Other (and Why It Matters) Google's Agent-to-Agent protocol is now governed by the Linux Foundation alongside MCP.
AI Cost Engineering: Token Budgeting, Prompt Caching, and Three-Tier Model Routing Running AI in production at scale isn't cheap — unless you engineer it.
Flat-rate AI subscriptions break when agents — not humans — are the primary users. Discover the four pricing models replacing subscriptions: per-seat, token-metered, session-based, and outcome-based cost-per-resolved-task.
Four coding agents, one decision. Claude Code for depth, OpenCode for model freedom, Cline inside VS Code, Aider for git-native terminal work. Where each one actually wins in 2026, and the one I would hand a new developer first.
A technical 2026 comparison of Cursor 3's Agents Window and Claude Code across autonomy, planning, parallelism, verification, and team fit. Verdict: Cursor wins the visual multi-agent workflow; Claude Code keeps the agentic edge on deeper autonomous execution.
Level: intermediate · 17 min read
Claude Desktop Model Swap: OpenRouter, Foundry, and Local Models Overview As of April 2026, Anthropic does not ship a native "Claude Desktop" application with built-in model provider switching.
Level: beginner · 16 min read
Claude Cowork + Obsidian: The Under 1-Minute Setup (and What It Unlocks) You create an Obsidian vault, point Claude Cowork at the same folder, and within sixty seconds you have an AI that reads, writes, and reorganises your notes the way a...
Level: beginner · 150 min read
RAG in Production: The Minimal, Correct Implementation for LLM Apps RAG (Retrieval-Augmented Generation) powers every LLM app that works with custom data.
Level: beginner · 8 min read
Production Claude: Building with the Anthropic SDK Beyond the Chat Interface Claude Code is great for development work, but production AI apps need the Anthropic SDK directly.
Level: beginner · 22 min read
Build Your First MCP Server in 30 Minutes: The Practical Guide MCP (Model Context Protocol) has reached 97 million installs. It's the standard way to extend Claude with custom tools, data sources, and reusable prompts.
Level: beginner · 18 min read
CLAUDE.md Mastery: Writing Project Instructions That Claude Actually Follows Every Claude Code session loads a single CLAUDE.md file into the context window.
Level: beginner · 8 min read
LLMOps: Instrumenting Your Multi-Agent Stack for Production When your agent calls a tool that calls another agent that calls an LLM and something breaks, where do you look?
Level: beginner · 12 min read
Google's A2A Protocol: How Agents Talk to Each Other (and Why It Matters) Google's Agent-to-Agent protocol is now governed by the Linux Foundation alongside MCP.
Level: beginner · 9 min read
AI Cost Engineering: Token Budgeting, Prompt Caching, and Three-Tier Model Routing Running AI in production at scale isn't cheap — unless you engineer it.
Level: beginner · 13 min read
Flat-rate AI subscriptions break when agents — not humans — are the primary users. Discover the four pricing models replacing subscriptions: per-seat, token-metered, session-based, and outcome-based cost-per-resolved-task.
Level: beginner · 16 min read
Four coding agents, one decision. Claude Code for depth, OpenCode for model freedom, Cline inside VS Code, Aider for git-native terminal work. Where each one actually wins in 2026, and the one I would hand a new developer first.
Level: Intermediate · 144 min read