Coding
Generate, debug, and refactor code across a real project in Cursor.
Coding with the whole project in view
Cursor's advantage over a chat assistant is that it codes with your real project in context. Because it indexes your codebase, it can pull in the right modules, follow your conventions, and edit across files rather than producing a snippet that ignores everything around it. The practical result: generated code fits the system it is joining. To get there, point Cursor at the relevant files and lean on your project rules so it writes in the style your codebase already uses.
Generate, debug, and refactor in place
The three everyday coding jobs each have a reliable pattern. For code generation, give Cursor the requirement plus the surrounding context so the output slots in. For debugging, point it at the actual error and the failing path rather than describing the symptom. For refactoring, name the safe steps you want — 'extract this into a hook, keep behaviour identical' — instead of a vague 'clean this up', and review the diff before you accept. Small, scoped changes you can verify beat large ones you have to trust.
The coding topics to explore
This section covers code generation, debugging, and refactoring — all inside a real codebase. Start with the card below that matches the task in front of you.
How is coding in Cursor different from ChatGPT?
Cursor codes with your real project in context — it indexes your files, follows your conventions, and edits across the codebase — whereas a chat assistant only sees what you paste. That context is why Cursor's edits fit your system more often.
How do I get better code generation from Cursor?
Give it the requirement plus the surrounding files, and lean on your project rules so it matches your conventions. Pointing it at the relevant code rather than prompting in the abstract is the biggest quality lever.
How do I debug with Cursor?
Point Cursor at the actual error and the failing code path rather than describing the symptom, and keep the change scoped so you can verify it. Reviewing the diff before accepting catches regressions early.
How should I refactor with Cursor?
Name the safe steps you want and the behaviour to preserve, rather than asking it to vaguely 'clean up' code. Keep each refactor small and review the diff, so you can confirm behaviour is unchanged at every step.
How well do you code with Cursor?
Five questions on generating, debugging, and refactoring inside a real codebase — where Cursor's context awareness either saves you or misleads you. No sign-up, instant score, and you can share how you did.
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Q1 You want Cursor to generate code that fits your project. What do you give it?Why
Pointing at a real example is what stops you hand-reformatting the result to match the repo. One caution: point at a good example — Cursor will faithfully propagate the pattern you should be fixing.
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Q2 You're handing Cursor a bug. What does it need?Why
A paraphrased error hides the actual location — the stack trace is the location. And without @-mentioning the relevant files, the model is left searching and guessing in a big repo.
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Q3 What must be in context before you refactor?Why
Refactoring without tests and calling the result 'behaviour-preserving' is faith, not engineering. Tests hold behaviour fixed so you can confirm nothing broke after each step.
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Q4 Cursor's refactor diff also includes a small behaviour change. What's the right response?Why
Letting a behaviour change ride along in a refactor diff is how regressions slip through review — the diff is labelled 'no behaviour change', so nobody looks for one. Keep them as separate changes.
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Q5 Several files in your repo share a name and you don't say which you mean. What happens?Why
Leaving the model to guess which file matters is the classic Cursor failure — you get a well-written edit in entirely the wrong place. If you know the file, @-mention it.