AI Coding: A Beginner's Guide

A short guide to coding with AI in 2025–2026 when you're just starting.

1. Pick one place to start. Use the same tool for a while—e.g. Cursor, Replit Agent, or Claude in the browser—so you learn its strengths and limits. Don’t hop every week.

2. Describe the outcome, not the code. Say "a button that submits the form and shows a success message" rather than "add useState and handleClick." The model will choose the implementation; you steer the behavior.

3. Work in small steps. One feature or one fix per request. If the result is wrong, paste the error or the bad output and ask for a fix. Iteration beats one giant prompt.

4. Keep the model in context. In an IDE, the model can see your files. In chat, paste the relevant snippet or file path. The more context you give, the better the output.

5. Run and test. Always run the code (or build/tests) after a change. If something breaks, share the error message. Don’t assume the first answer is final.

6. Learn a little structure. You don’t need to be an expert, but knowing roughly what a front end, API, and database are helps you describe what you want and understand what the model suggests.

7. Use a project brief. A short README or AGENTS.md (see agents.md template) that describes your stack and style helps the model stay consistent.

You’re not "cheating"—you’re using the best tool available. The skill is in directing it. For more, see Vibe Coding and 9 Things for Agent-Driven Development.