Explore Ai First 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 Ai First or looking to deepen your expertise, these guides provide the depth and clarity to move forward with confidence.
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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.
On February 4, 2026 — exactly one year after coining 'vibe coding' — Andrej Karpathy declared the term passé and proposed 'agentic engineering' as the more accurate name for how professionals now build with AI. His distinction: vibe coding remains fine for demos and throwaway projects, but undersells the structured discipline that production-grade AI-assisted development requires.
Most developers jump straight into prompting and wonder why Claude Code fights them. This guide walks through 7 essential setup steps — GitHub repos, CLAUDE.md files, MCP servers, and custom sub-agents — that make every project 10x easier.
Remote Claude Code Terminal Access: Check on Your AI Agent from Anywhere Introduction You start a Claude Code session, give it a big task, and then you need to leave your desk.
Karpathy stopped using RAG and started compiling knowledge into LLM-maintained wikis. Discover the three-layer architecture he uses, plus a 5-minute setup you can run today with Claude Code and markdown files.
Clean-Room AI Rewrite: How to Rebuild Any System Architecture Legally When you need to rebuild a proprietary system -- migrating away from a vendor, replacing legacy infrastructure, or creating an open-source alternative -- clean-room...
You don't need chain-of-thought tricks or structured prompt templates. With modern AI coding tools like Claude Code, the most effective technique is simply describing what's wrong — and letting it fix it.
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
On February 4, 2026 — exactly one year after coining 'vibe coding' — Andrej Karpathy declared the term passé and proposed 'agentic engineering' as the more accurate name for how professionals now build with AI. His distinction: vibe coding remains fine for demos and throwaway projects, but undersells the structured discipline that production-grade AI-assisted development requires.
Level: beginner · 22 min read
Most developers jump straight into prompting and wonder why Claude Code fights them. This guide walks through 7 essential setup steps — GitHub repos, CLAUDE.md files, MCP servers, and custom sub-agents — that make every project 10x easier.
Level: beginner · 168 min read
Remote Claude Code Terminal Access: Check on Your AI Agent from Anywhere Introduction You start a Claude Code session, give it a big task, and then you need to leave your desk.
Level: beginner · 216 min read
Karpathy stopped using RAG and started compiling knowledge into LLM-maintained wikis. Discover the three-layer architecture he uses, plus a 5-minute setup you can run today with Claude Code and markdown files.
Level: beginner · 192 min read
Clean-Room AI Rewrite: How to Rebuild Any System Architecture Legally When you need to rebuild a proprietary system -- migrating away from a vendor, replacing legacy infrastructure, or creating an open-source alternative -- clean-room...
Level: beginner · 156 min read
You don't need chain-of-thought tricks or structured prompt templates. With modern AI coding tools like Claude Code, the most effective technique is simply describing what's wrong — and letting it fix it.
Level: beginner · 120 min read