Cursor Review

Cursor is not just another code editor with AI bolted on — it is fundamentally reimagining what writing code looks like in an AI-native world. Built on the VS Code foundation (so all your extensions and settings transfer), Cursor adds deep AI integration that understands your entire codebase, not just the file you are looking at.

The core experience revolves around three modes: Tab completions that predict your next edit with uncanny accuracy, inline chat for asking questions or requesting changes within your code, and Agent mode where you describe what you want in natural language and Cursor edits multiple files simultaneously to make it happen.

What makes Cursor different from GitHub Copilot is the depth of context. Cursor indexes your entire project and uses that understanding to generate code that actually fits your architecture, naming conventions, and patterns. It is the difference between autocomplete that guesses and an AI that genuinely understands your codebase.

We used Cursor Pro for 30 days across three projects: a Next.js web application, a Python data pipeline, and a React Native mobile app.

Agent mode is the killer feature. Describing a change like "add user authentication with Google OAuth, create the login page, update the navigation, and protect the dashboard route" resulted in Cursor editing 6 files with working code on the first try about 70% of the time. The other 30%, it got 80-90% of the way there and needed minor corrections.

Tab completions are remarkably context-aware. After working in a codebase for a few minutes, Cursor starts predicting not just syntax but entire logical blocks that match your coding style. It consistently suggested the exact helper function calls, variable names, and error handling patterns we used elsewhere in the project.

The model selection is a significant advantage. You can switch between Claude, GPT-4o, and Gemini depending on the task. We found Claude best for complex refactoring, GPT-4o strongest for boilerplate generation, and Gemini fastest for simple completions.

Background Agents — a newer feature — let you kick off longer tasks (like "write tests for this module") that run asynchronously while you continue working. This is genuinely novel and something no other editor offers.

Cursor offers four tiers, each a significant step up in AI usage allowances.

The Hobby plan (free) gives you limited Agent requests and Tab completions — enough to experience the product but not enough for daily development work. It is essentially a trial.

Pro at $20/month is where most developers should start. You get extended Agent limits, unlimited Tab completions, Background Agents, and maximum context windows. For individual developers, this covers a full day of active AI-assisted coding.

Pro+ at $60/month triples your usage limits across all models. If you hit rate limits on Pro during intense coding sessions, this is the fix. It is popular among full-time developers who lean heavily on Agent mode.

Ultra at $200/month provides 20x the standard usage plus priority access to new features. This is for developers who use AI for nearly every line of code and cannot afford to be rate-limited.

Compared to GitHub Copilot at $10/month, Cursor costs more but offers a fundamentally more capable experience. Copilot is an assistant that suggests code; Cursor is an agent that writes it.

Cursor is the right choice for professional developers who want to maximize productivity and are willing to adapt their workflow around AI-native tools. If you write code for several hours daily, the productivity gains from Agent mode and context-aware completions are substantial.

Choose Cursor if you: write code as a primary part of your job, want multi-file AI editing with deep codebase understanding, value having multiple frontier AI models available, or are building new projects where rapid scaffolding saves significant time.

Consider alternatives if you: primarily need simple code suggestions (GitHub Copilot is cheaper and simpler), work in highly regulated environments that prohibit cloud-based code analysis, prefer JetBrains IDEs (Cursor is VS Code-based only), or your coding needs are light enough that ChatGPT or Claude handle them fine.