2 min lesson
The shape of Cursor's coding questions
Use the lesson to respond to this: "Cursor's technical screen tends to differ from a generic LeetCode interview in which way?" Keep the answer plain.
Step 1 of 2
Cursor's technical screen is not LeetCode theater. You get one medium-hard problem and it usually sits on top of a real slice of the codebase rather than in a blank file.
The role builds the editor itself, so the screen probes whether you can reason about the structures an editor actually runs on. A Software Engineer, Product who has shipped real features recognizes these problems instantly; someone who crammed abstract algorithm puzzles the night before tends to flounder the moment the problem touches a file system or a text buffer.
Candidates have reported a consistent flavor of question. Treat these as the genre, not a leaked answer key.
- Reported question
- Build a hash tree to organize repository data
- Underlying skill
- Merkle-style hashing, recursion over a tree
- Editor connection
- Detecting changed files, deduping content at repo scale
- Reported question
- Find duplicate files in a file system
- Underlying skill
- Traversal, grouping, content hashing
- Editor connection
- Indexing a workspace without re-reading every byte
- Reported question
- Print the top view of a binary tree
- Underlying skill
- BFS with horizontal-distance tracking
- Editor connection
- Rendering a code outline or symbol tree
| Reported question | Underlying skill | Editor connection |
|---|---|---|
| Build a hash tree to organize repository data | Merkle-style hashing, recursion over a tree | Detecting changed files, deduping content at repo scale |
| Find duplicate files in a file system | Traversal, grouping, content hashing | Indexing a workspace without re-reading every byte |
| Print the top view of a binary tree | BFS with horizontal-distance tracking | Rendering a code outline or symbol tree |
Different prompts, but each maps to something the editor does for real.
The deeper pattern is that applied problems lean on AI-editor primitives. Interviewers have framed problems around multi-file edit coordination, context retrieval for LLM prompts and streaming edit application. You are not expected to have built Cursor, but you are expected to reason about these like an engineer who uses the product daily.