Context management
Control exactly what the model sees with @-mentions.
Control exactly what the model sees
At an advanced level, using Cursor well is mostly about controlling context. The @-mention system lets you point the AI at exactly the files, folders, or symbols that matter, rather than leaving it to guess from the index. That precision is powerful: instead of hoping it finds the right code, you hand it the relevant slice directly. In a large codebase this is the difference between a focused, accurate edit and a vague one that drifts because the model was working from too much or too little.
The right slice, not the whole repo
Indexing lets Cursor reach any file, but that does not mean every request should include everything. The skill is selecting the relevant slice — the module you are changing, the files it touches, the pattern to follow — and being explicit about it. Too much context buries the signal; too little starves the model. Scope each task, @-mention the key files, and keep changes reviewable. Managed deliberately, Cursor stays sharp even in big projects; left to guess, it produces confident but off-target work.
How do I control what Cursor's AI sees?
Use @-mentions to point it at exactly the files, folders, or symbols that matter, rather than relying on it to guess from the index. That precision keeps edits focused and accurate.
Should I include my whole codebase as context?
No. Select the relevant slice — the module you are changing and the files it touches. Too much context buries the signal; too little starves the model. Scope each request.
Why is context management the key advanced skill in Cursor?
Because in a real codebase, what the model can see determines the quality of its edits far more than prompt wording. Curating context deliberately is what keeps Cursor accurate at scale.