AI-Assisted Programming
Practical, no-fluff guides on using AI tools in your daily programming workflow. From writing better prompts to generating, debugging, and testing code with Claude Code, GitHub Copilot, Cursor, and more.
Jump to the Quickstart to get AI-assisted coding working in your environment in under 30 minutes.
What you'll find here
| Section | What's inside |
|---|---|
| Guides | Step-by-step tutorials on prompting, code generation, debugging, testing, and workflows |
| Tools | Overview and comparison of AI development tools (Claude Code, Copilot, Cursor, Codex, Gemini CLI, Aider, Mistral) |
| Claude Code | Deep-dive into commands, memory, skills, hooks, plugins, MCP servers, subagents, and agent teams |
| Resources | Curated GitHub repos, prompt templates, and useful references |
Who this is for
These guides are written for developers who already know how to code and want to integrate AI tools into their workflow, not to replace thinking, but to move faster and reduce repetitive work. Whether you work in web/backend, .NET, or firmware/embedded, there's a setup guide tailored to your stack.
Popular starting points
- New to AI coding? Start with Prompting Basics, then try the Quickstart
- Already using Copilot or Cursor? Check the Tools Comparison and see what Claude Code adds
- Want to go deep on Claude Code? Start with the Starter Setup, then explore Skills, Hooks, and Subagents
- Looking for copy-paste prompts? Browse the Prompt Templates
A note on AI limitations
AI models make mistakes. They hallucinate APIs, misunderstand context, and produce code that looks correct but isn't. Treat AI output as a first draft, not a finished product. Always review, test, and understand the code before using it in production. For common pitfalls and how to handle them, see Troubleshooting & Limitations.