AI Tools & Resources
Practical tools and guides for effective work with AI assistants. Templates, best practices, integrations.
Tools & Guides
Token Counter
Coming soon
Prompt Builder
Coming soon
What is AI and Why Does It Matter?
AI (Artificial Intelligence) is technology that enables computers to perform tasks requiring human intelligence: understanding text, generating code, analyzing data, answering questions.
Modern AI assistants (ChatGPT, Claude, Gemini) are Large Language Models (LLMs) trained on vast amounts of text that can help with a wide range of tasks: from writing code to creating content.
Popular AI
- ChatGPT (OpenAI)
- Claude (Anthropic)
- Gemini (Google)
- Copilot (GitHub/Microsoft)
- Cursor (AI IDE)
How AI is Used
Development
- Writing and refactoring code
- Code review and bug hunting
- Test generation
- Documentation and comments
- Learning new technologies
Content
- Writing articles and posts
- Editing and proofreading
- Text translation
- Document summarization
- Idea generation
Analysis
- Data and report analysis
- Market research
- Information extraction
- Content categorization
- Pattern recognition
How to Integrate AI
Web Interfaces
The easiest way to start - use official web apps:
- chat.openai.com - ChatGPT
- claude.ai - Claude
- gemini.google.com - Gemini
IDEs and Editors
Integration directly into development environment:
- Cursor - AI-first editor based on VS Code
- GitHub Copilot - plugin for VS Code, JetBrains
- Codeium - free Copilot alternative
API
For integration into your applications:
- OpenAI API - GPT-4, GPT-3.5
- Anthropic API - Claude
- Google AI API - Gemini
CLI
For terminal work:
- Claude Code - official CLI from Anthropic
- aider - AI pair programming in terminal
- sgpt - ChatGPT in command line
AI Articles View all
AI Coding Agents: A Practical Workflow Guide for Real Projects
How to work effectively with AI coding agents like Claude Code, Cursor, and Windsurf. Covers the agent loop, when to delegate vs direct, context management, multi-step tasks, and the habits that separate productive agent use from expensive frustration.
MCP (Model Context Protocol) Explained: How AI Agents Connect to the Real World
A practical breakdown of the Model Context Protocol (MCP): what it is, how the client-server architecture works, why it exists, and what it means for AI tool integration. Includes examples, a comparison with function calling, and an honest assessment of the current state.
Prompt Engineering Patterns That Actually Work - Beyond the Hype
A practical guide to prompt engineering patterns that produce consistent results: structured output, chain-of-thought, few-shot examples, role framing, and constraint-based prompting. No magic tricks - just techniques that hold up across real tasks.
AGENTS.md Makes Your AI Coding Agent Worse - and Now There's Research to Prove It
ETH Zurich's research on AGENTS.md files confirms what I discovered the hard way: bloated custom instructions make AI coding agents slower, more expensive, and less effective. A breakdown of the paper's findings, why context files backfire, and what actually works.
Custom Instructions for AI Assistants: How to Write Them Without Wasting Money
A practical guide to writing effective custom instructions for ChatGPT, Claude, and Cursor. Covers what happens inside every prompt, how instructions inflate token costs, prompt caching, and a comparison of bloated vs lean instruction sets with real token counts.
RAG Document Assistant: Answer Questions from Your Own Docs with Ollama, ChromaDB and Docker
Build a local RAG document assistant that reads .txt files, indexes them with vector embeddings, and answers questions using a local LLM — all without a cloud API. Includes a FastAPI backend, a minimal browser UI, and a full Docker Compose setup.
Common Questions
CLAUDE.md is used by Claude Code (Anthropic's CLI), .cursorrules by Cursor editor. They serve the same purpose - persistent project context - but for different tools. Our Custom Instructions builder can generate both formats.