#Beginners.
12 posts filed under this topic.
What Are AI Agents? Beyond Chatbots to Autonomous Systems
AI agents are autonomous systems that can perceive, reason, and act. Learn how they differ from chatbots, what makes them powerful, and when to use them.
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.
Testing and Debugging Agent Skills Before You Deploy
Skills that work alone fail differently inside an agent loop. Unit test your tools, mock AI calls, and debug the full tool_use cycle in Node.js.
Handling Errors in Agent Skills: Retries and Fallbacks
What happens when a tool fails? Handle errors in agent skills — timeouts, bad API responses, retries, and graceful fallbacks with real Node.js code.
What Are Agent Skills? AI Tools Explained Simply
Agent skills are the actions an AI can take beyond just talking. Learn what skills are, how they differ from prompts, and why they make AI actually useful in real workflows.
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.
How Junior Engineers Should Actually Use Claude Code
Not a shortcut — a safety net. How to use Claude Code to learn faster, catch mistakes early, and ship better code.
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.
Programs Worth Practising for Absolute Beginners
A curated list of beginner coding exercises — input/output, conditionals, loops, patterns, strings, arrays, functions, recursion, and OOP — to build real logic and problem-solving skills.