#LLM.
18 posts filed under this topic.
How to Consume Vercel Skills in the AI SDK
Stop writing monolithic system prompts. Learn how to programmatically inject modular Vercel Agent Skills into your AI SDK workflows to build smarter applications.
How to Build and Publish a Vercel Agent Skill
Stop writing complex wrappers. Learn how to define, test, and publish a Vercel Agent Skill using the standard npx skills CLI and simple Markdown.
Introduction to Vercel Agent Skills: The End of Prompt Spaghetti
Vercel's Open Agent Skills Ecosystem replaces messy, copy-pasted system prompts with structured, version-controlled markdown files. Here is what you need to know.
Vibe Coding Explained: What It Is and How to Actually Ship
Vibe coding is how most prototypes get built in 2026. Here's what it actually is, where it breaks, and the 5-phase framework that gets things shipped.
Context Window Full? 9 Tricks to Get More Out of Every AI Session
Running into context limits with Claude, ChatGPT, or Cursor? These practical tricks help you stay under the limit and stop your AI from getting 'stupid' during long sessions.
MCP vs Function Calling: What's the Actual Difference?
MCP and function calling both let AI models use tools. But they work very differently. Here's the comparison.
OpenClaw Tutorial: Build Your First AI Agent in 15 Minutes
Build your first OpenClaw agent from scratch — connect Telegram, configure a heartbeat schedule, set up memory, and swap LLMs. A complete hands-on walkthrough with real scenarios.
OpenClaw vs ChatGPT vs Claude: Which AI Setup Is Right for You?
Honest comparison of OpenClaw, ChatGPT, and Claude web — privacy, memory, cost, autonomy, and setup. Five questions to find your best AI setup.
What Is OpenClaw? The Self-Hosted AI Agent You Actually Own
OpenClaw is a self-hosted autonomous AI agent that runs on your hardware, connects to 20+ messaging apps, and keeps your data off the cloud. Here's the no-nonsense breakdown.
How to Install Ollama and Run LLMs Locally
Ollama lets you run large language models on your own machine — no API keys, no cloud, no data leaving your computer. Here's how to install it, download models, and use them.
OpenAI API Cheat Sheet: GPT-4o, Tools & Assistants
Complete OpenAI reference — GPT-4o and o-series models, chat completions, function calling, structured output, Assistants API, embeddings, DALL-E 3, and Whisper.
Gemini API Cheat Sheet: 2.5 Pro, Vision & Grounding
Complete Google Gemini reference — Gemini 2.5 Pro and Flash models, generateContent, streaming, vision, JSON output, function calling, Search grounding, and Gemini CLI.
Claude API Cheat Sheet: SDK, CLI, MCP & Prompting
Complete Claude reference — Anthropic API, model IDs, Messages API params, Claude Code CLI commands, MCP setup, tool use, prompt caching, and Batch API.
Claude vs Gemini 2.5 for Coding: Honest Comparison
Hands-on comparison of Claude Sonnet 4.6 vs Gemini 2.5 Pro for real coding tasks.
What Is a Context Window and Why Should Developers Care?
The context window is the 'active memory' of an AI model. If you don't manage it, your app will get expensive, slow, and forgetful. Here is how to handle it like a pro.
What Is an LLM? A Plain English Guide for Developers
Forget the hype and the PhD jargon. An LLM is just a very big autocomplete engine. Here is how it actually works and why it sometimes lies to your face.
What Is RAG and When Does It Actually Help?
Retrieval-Augmented Generation explained simply — what it is, how embeddings and vector search work, when RAG helps vs when you do not need it, with a working Python example.
Prompt Engineering Is Dead. Long Live System Prompts.
The 2023 obsession with magic prompt tricks is over. What actually works in 2026: clear system prompts, examples over descriptions, explicit constraints, and evals.