1. What is an AI coding assistant?
An AI coding assistant is a model that helps you write, read and refactor code. It can suggest lines, explain snippets and generate boilerplate, but it does not replace your understanding of the language or framework.
2. Using Copilot inside your editor
Copilot integrates directly into your editor or IDE. It works best when:
- You already know roughly what you want to write.
- You accept or reject suggestions quickly.
- You keep your functions small and focused.
Treat its suggestions as drafts. Always read the code before committing it to your project.
3. Using ChatGPT as a coding partner
ChatGPT is ideal for higher-level tasks:
- Explaining unfamiliar error messages.
- Sketching out an algorithm in plain language.
- Comparing different approaches or libraries.
- Refactoring or documenting existing code.
Paste only the parts of your code that are needed, and clearly describe your goal, constraints and environment.
4. Writing better prompts for coding
Good prompts are specific. For example:
- Specify the language and framework (e.g. “TypeScript + React”).
- Mention constraints (no external libraries, must be O(n), etc.).
- Ask for short, focused answers instead of huge files.
- When refactoring, paste both “before” and “what you want improved”.
5. Safety and limitations
AI-generated code can contain bugs, security issues or outdated patterns. You are still responsible for:
- Reviewing the code line by line.
- Running tests and checking edge cases.
- Following your organisation’s security guidelines.