How AI Actually Understands Code (It's Not What You Think) | LLMs Used (Gemini, Copilot, DeepSeek)

Описание: Ever wondered how AI tools like Gemini, GitHub Copilot, or DeepSeek actually understand your code prompts? 🧠

In this video, we’ll go behind the scenes of Large Language Models (LLMs) to uncover:
🧩 How tokenization works (the secret to how AI “reads” your code)
🧠 What context windows are — and why AI sometimes “forgets” your previous code
🎯 How AI tools interpret developer intent to generate smarter responses

You’ll also learn how to write better prompts that help AI tools like Gemini CLI, Copilot, and Cline Bot understand you clearly and generate better code every time.

💡 What You’ll Learn

✅ How AI converts your code and text into tokens
✅ What context windows mean in Gemini, Copilot, and DeepSeek
✅ Why phrasing your prompt differently changes the output
✅ How to structure AI prompts like a professional developer
✅ How AI models “think” behind the scenes — from tokens to intent

⚙️ Tools Featured

Google Gemini CLI

GitHub Copilot

DeepSeek AI

Cline Bot for VS Code

🧠 Perfect For

Developers using AI tools in VS Code

Beginners learning AI-assisted coding

Engineers exploring LLMs and prompt engineering

⏱️ Timestamps (Chapters)

00:00 – Intro: How AI “Understands” Your Code
00:37 – What Happens When You Type a Code Prompt
00:59 – What Are Tokens? 🧩 (The Building Blocks of AI)
01:10 – Tokenization in Action: How AI Reads Your Code
01:44 – Context Windows Explained 🧠 (AI’s Short-Term Memory)
02:20 – Understanding Developer Intent 🎯
03:00 – Same Prompt, Different Results (Real Example)
03:52 – How to Write Better Prompts for Coding
04:39 – How LLMs Learn from Code Patterns
05:04 – Recap: Tokens → Context → Intent
05:27 – Outro: Code Smarter with AI 🤖

💬 Try This Prompt:

“Explain how tokenization and context windows affect AI’s understanding of code prompts.”

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