Choosing Your AI Coding Tools

There are now dozens of AI coding tools, and the list grows every month. Chat assistants, editor add-ons, terminal agents, one-prompt app builders: each promises to help you build software faster. For a beginner, the choice is overwhelming, and most advice is really just marketing for one product.

Choosing Your AI Coding Tools cuts through the noise. It is a calm, vendor-neutral guide to the whole landscape. Rather than crowning a single winner, it teaches you the categories of tools, how each one works, what they cost, how they treat your code and data, and, most importantly, how to match a tool to the task in front of you. By the end you will have assembled a personal toolkit and a simple decision rule you can trust as the market keeps changing.

The course names real tools (Claude Code, Cursor, GitHub Copilot and others) only as examples of their categories, so what you learn stays true even as specific products rise, fall and rebrand. No coding background is required. Every module blends a short video overview, clear illustrated lessons, a knowledge-check quiz, and a hands-on interactive activity.

What you will be able to do:

• Map the AI coding landscape into a handful of clear categories.
• Tell apart chat assistants, editor assistants, and terminal or agentic tools, and know when each shines.
• Set up a tool and complete a confident first run, whatever you choose.
• Understand how these tools are priced and how they handle your code and data.
• Match the right kind of tool to any task using a simple decision rule.
• Assemble a personal toolkit and keep it current as the market shifts.

Who it is for: Beginners and non-programmers deciding how to start, and anyone who feels lost among the many AI coding products and wants a clear, unbiased way to choose.

Course outline: Orientation · The Landscape of AI Coding Tools · Three Shapes: Chat, Editor and Agent · Getting Set Up and Your First Run · Cost, Privacy and Choosing Well · Capstone: Build Your Personal Toolkit.