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Frontend, bots, automation
Claude Coding
A guide to AI-assisted coding
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EN
RU
Lesson series
Claude Coding. A guide to AI-assisted coding
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Claude Coding
Part 01
LLM Fundamentals: Models, Tokens, Context, and Cache
Lesson
01
Introduction. Who is this guide for, and why does it focus on private and enterprise development using LLMs?
Lesson
02
Which Models Are Suitable for Coding? A Cheat Sheet on Model Types: Instruct, Thinking, Densed, Multi-modal, MOE, MTP, MLX, Quantization
Lesson
03
Uncensored models (cybersecurity, jokes about Black people and Jews, political analysis, adult sphere)
Lesson
04
Tokens: How Are They Counted, and Why Do Prompts in English Help Save a Little Money?
Lesson
05
Why Create a New Session for Every Task? How Cache and Context Work
Part 02
Development Preparation. Installing Claude Code with the Local Qwen 3.6 27B Model
Lesson
01
Configuring Claude Code to work with OpenRouter, local LM Studio, or a corporate Qwen 3.6 27B model
Lesson
02
ACP IDE Mode. Integrating Claude Code into VS Code, WebStorm (PyCharm and other JetBrains products), and Zed
Part 03
Basic Level: Building an AI Agent Framework for Daily Tasks
Lesson
01
The first tool is voice input. How to set up Spokenly for voice input in any text field for private offline work
