Learn to pick between in-editor AI assistants and chat windows based on which task actually suits each one.
Take a moment to think about it this way
Every tool here is an LLM, but they don't get fed context the same way. An editor agent like Cursor can see your open files, terminal errors, and project structure. GitHub Copilot fills in the line you're currently writing. ChatGPT/Claude shine at brainstorming, testing out prompts, and explaining things with outside examples. Picking the right tool for the job usually matters more than picking a model by name.
Let's connect this to everyday life
If you want to edit a component right inside its current file, use an editor AI. If you want to think through an architecture decision first, write the spec in a chat window. Paste in the error stack and ask "why is this happening, and which file should I fix?" Don't try to force everything through a single tool. When you bring a plan you wrote in chat back into the editor, include the file path and acceptance criteria.
Let's try it hands-on, together
Task Prefer
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Rename a function Editor / Copilot
Create a new page Cursor agent
Explain an error Chat + paste stack
Choose architecture Chat first, then editor
Ship a patch Editor + testsBe able to choose the right AI tool for a task and explain why.5-minute try-it
Make a table of the two tools you currently use. Note which task each one is for, what context it can access, and what it can't see.
One quick warning
Never treat AI output as the final, correct answer. Read through code, secrets, and user data yourself, test it, and only then put it to use.