The AI Engineering Bible: The Complete and Up-to-Date Guide to Build

How do I get the most from AI coding assistants?

Write clear comments describing intent, provide context through well-structured files, use specific prompts, and learn your tool's shortcuts. Better prompts yield better output.

What is the best AI coding tool for beginners learning to program?

Claude Code and Cursor are excellent for learners — they explain code, catch errors, and suggest improvements conversationally. GitHub Copilot is simpler but less educational. Avoid relying on AI for fundamentals like loops, data structures, and algorithms — understand the concepts first, then use AI to accelerate. The best approach: write code yourself, then ask AI to review and explain improvements.

Is there a good AI coding assistant for Neovim or Vim?

Yes — Codeium, GitHub Copilot, and Supermaven all have Neovim plugins. Continue.dev also supports Neovim and lets you connect any LLM backend. For Vim purists, the setup requires more configuration than GUI editors, but the completions work well once configured. Tabnine also offers a Vim plugin. The Neovim ecosystem has mature AI tooling compared to most other terminal-based editors.

What is the best AI coding tool for Python development?

GitHub Copilot and Cursor both excel at Python due to the abundance of Python code in their training data. For data science workflows (Jupyter, pandas, numpy), Copilot's JupyterLab integration is particularly useful. Cursor's agent mode is powerful for refactoring large Python codebases. Continue.dev with a strong local model like Deepseek Coder is a great free option for Python.