2 min lesson
The 90-second competitive take
Answer this: "Do you have an AI-judgment story ready - one where you used an agent aggressively but rejected a bad suggestion? Outline it in two sentences."
Step 1 of 2
The 90-second competitive takeCursor vs the field
Deliver a 90-second comparison of Cursor against Copilot, Windsurf and Claude Code, with a clear point of view. Honest opinion beats balanced mush - the round is checking whether you actually use these tools and have formed a stance.
- Tool
- GitHub Copilot
- Where it's strong
- Ubiquity, IDE reach, inline suggestions
- Your honest knock
- Lighter-touch agent; less of a full editor rethink
- Tool
- Windsurf
- Where it's strong
- agent-assisted flows, clean UX bets
- Your honest knock
- Smaller ecosystem; you've felt the rough edges where?
- Tool
- Claude Code
- Where it's strong
- Strong terminal/agent reasoning
- Your honest knock
- Different surface (CLI), not a full editor experience
- Tool
- Cursor
- Where it's strong
- Deep editor integration, Tab, context retrieval
- Your honest knock
- Be honest about its gaps too - that's the power-user tell
| Tool | Where it's strong | Your honest knock |
|---|---|---|
| GitHub Copilot | Ubiquity, IDE reach, inline suggestions | Lighter-touch agent; less of a full editor rethink |
| Windsurf | agent-assisted flows, clean UX bets | Smaller ecosystem; you've felt the rough edges where? |
| Claude Code | Strong terminal/agent reasoning | Different surface (CLI), not a full editor experience |
| Cursor | Deep editor integration, Tab, context retrieval | Be honest about its gaps too - that's the power-user tell |
Fill the last column from real use. A take with no critique of Cursor reads as a fan, not an expert.
Catch generic answers on the playback. “Cursor is just better” or “they're all great tools” both fail - one is a fanboy, the other is a fence-sitter. Replace every line of praise with a specific, opinionated observation you could only make from real use and verify each values story quantifies its outcome.
Have your AI-judgment story loaded and ready: a time you used an agent aggressively, caught a bad suggestion and rejected it instead of pasting it. This is a named cultural dimension for the role - using AI tools with taste - and it's the story most candidates forget to prepare.