Cursor is an AI-powered code editor built on VS Code that has become one of the most widely discussed developer tools of 2024–2025. After sustained use, here is an honest assessment of where it genuinely helps and where it falls short.
What Cursor Does Well
Tab completion that predicts multi-line code changes (not just the next token) is Cursor’s standout feature — it often anticipates what you’re about to type across an entire function. The inline chat (Cmd+K) lets you describe a change in natural language and see it applied immediately in the editor. For boilerplate-heavy tasks — writing tests, generating CRUD operations, converting data formats — Cursor is significantly faster than writing manually.
The Composer (Agent Mode)
Cursor’s Composer mode lets you describe a feature or task in natural language and have the AI make changes across multiple files simultaneously. For greenfield code or self-contained feature additions this works well. For complex refactors in large codebases, it loses context and makes incorrect assumptions about file interdependencies. Always review diffs before accepting.
Where It Falls Short
Cursor struggles with: highly specific domain knowledge (medical, legal, financial models), deeply interconnected legacy codebases, and anything requiring precise understanding of performance constraints. It confidently produces code that looks correct but contains subtle bugs — the “95% done, wrong 5%” failure mode is common. You need to understand the code you’re accepting.
Pricing
The Pro plan runs $20/month and includes access to Claude Sonnet, GPT-4o, and Claude Opus through Cursor’s API. The free tier is significantly limited. The Pro plan pays for itself quickly if it saves even 1–2 hours of development time per week.
Verdict
Cursor is genuinely useful for experienced developers who can evaluate the code it produces. It is a multiplier, not a replacement — you still need to understand what you’re building.
