Cursor has been the most-discussed developer tool of the last two years. It turned "AI code editor" from a vague promise into something developers actually use in production. After daily use across multiple projects, here's an honest assessment — what's genuinely good, what's overhyped, and who it's actually for.
What Cursor Actually Is
Cursor is a fork of VS Code with AI built directly into the editor. This is an important distinction from tools like GitHub Copilot, which are plugins that bolt AI onto an existing editor.
Because Cursor controls the entire editor, it can do things that plugins can't:
- Index your entire codebase (not just open files)
- Make coordinated changes across multiple files in a single operation
- Provide AI suggestions that understand your project structure, not just the current file
You keep all your VS Code settings, keybindings, and extensions. The AI features layer on top.
The Core Features
Tab Autocomplete
Cursor's inline autocomplete is powered by a proprietary model and is competitive with GitHub Copilot. For most completion tasks, the quality is equivalent — sometimes better on context-aware suggestions.
The key difference from Copilot: Cursor can suggest completions that reference code from elsewhere in your project.
// You're writing this in api/users.ts:
async function createUser(data: CreateUserInput) {
// Cursor suggests completing with your actual validation schema
// because it indexed auth/schemas.ts where you defined UserSchema
const validated = UserSchema.parse(data);
}
Copilot would suggest a generic validation call. Cursor suggests your actual schema from a different file.
Cmd+K: Inline AI Edits
Press Cmd+K (Mac) or Ctrl+K (Windows) anywhere in your code to get an inline AI edit prompt. You describe what you want, and Cursor rewrites the selected code (or generates new code at cursor position).
# Examples of Cmd+K prompts:
"Add error handling to this function"
"Refactor to use async/await instead of callbacks"
"Add TypeScript types to this JavaScript function"
"Make this function testable by extracting side effects"
The edit appears as a diff you can accept or reject. This is one of the most fluid AI-editor interactions available — you don't break your coding flow to switch to a chat window.
Cmd+L: Chat with Context
Cmd+L opens the chat panel. What makes it different from ChatGPT or Claude in a browser:
- @-mentions let you include specific files, code symbols, or documentation in your query
- Codebase search happens automatically — Cursor finds relevant code from your project
- Apply buttons — code suggestions have a one-click apply that diffs against your actual file
# In Cursor chat, you can write:
"@UserService How is authentication handled in this service?
Show me where session tokens are generated."
# Cursor will:
# 1. Find UserService in your codebase
# 2. Read the relevant methods
# 3. Give you a specific, accurate answer about YOUR code
This level of codebase awareness is the feature that keeps developers paying for Cursor over free alternatives.
Composer: Multi-File Editing
Composer (Cmd+I or Ctrl+I) is Cursor's most powerful and most experimental feature. You describe a change that spans multiple files, and Cursor:
- Searches your codebase to understand what needs to change
- Plans the changes across all affected files
- Shows you a multi-file diff before applying anything
# Example Composer prompts:
"Add a createdAt timestamp to all database models and their TypeScript interfaces"
"Migrate all API routes from Express to Fastify, keeping the same route structure"
"Add rate limiting middleware to all authenticated endpoints"
For the first two, Composer handles 80-90% of the work correctly. You review the diff, fix the edge cases, and accept. For large-scale refactors that previously required manual changes to dozens of files, this is a genuine time-saver.
Caveat: Composer works best on well-structured codebases. On messy legacy code with inconsistent patterns, it gets confused more often.
What Makes Cursor Actually Different
The following scenarios illustrate where Cursor provides value that plugins can't match:
Scenario 1: Debugging a regression
You're debugging an issue where a recently changed utility function is breaking something across several consumers. In Cursor:
- Open the failing test
-
Cmd+L→ "@TestFile This test is failing after the recent auth refactor. Find where the issue is." - Cursor searches your repo, finds the relevant auth changes, and explains exactly which call chain broke
In VS Code + Copilot, you'd paste the test, the utility, and all the consumers manually into a chat window.
Scenario 2: Onboarding to a new codebase
First day on a new project. In Cursor:
- "Explain the overall architecture of this codebase"
- "Where is authentication handled? Show me the flow from request to token validation"
- "How does data get from the database to the API response?"
Cursor reads your actual code and gives accurate answers. ChatGPT or a browser AI can only answer based on what you paste.
Scenario 3: Consistent refactoring
You've standardized on a new error handling pattern. In Composer:
- "Update all API handler functions to use the new
withErrorBoundarywrapper fromlib/errors.ts"
Cursor finds all handlers, shows you what changes, and applies them consistently. Previously this took a developer half a day.
Honest Criticisms
Privacy Concerns
Cursor sends your code to its servers for completion and analysis. This is unavoidable — the codebase indexing that makes Cursor powerful requires it.
For most individual developers, this is a non-issue. For enterprise teams working on sensitive code (financial systems, healthcare, defense), this requires careful review against company security policies. Cursor has a Privacy Mode that disables training on your code, but your code still passes through their servers.
If this is a dealbreaker, Continue.dev with Ollama is the alternative.
It's a Fork, Not VS Code
Cursor ships VS Code updates with a lag — often a week or two behind. Extension compatibility is generally very good but occasionally breaks. Cursor's own features occasionally have rough edges.
For developers who live in VS Code and have a highly customized setup, there's a real chance something won't work exactly as expected in Cursor.
The Price Is High for What It Is
$20/month is double GitHub Copilot's price. The multi-file editing and codebase context justify it for developers who use those features heavily. For developers who primarily want inline autocomplete, Copilot at $10/month (or Codeium for free) covers most of the use case.
Context Quality Degrades in Large Codebases
Cursor's codebase indexing works well for projects up to ~200K lines of code. In very large monorepos (Google/Meta scale codebases, though you'd likely have different tooling there), the indexing can struggle and responses become less accurate.
Performance: What to Expect
| Feature | Quality Assessment |
|---|---|
| Tab autocomplete | Excellent — competitive with Copilot |
| Single-file Cmd+K edits | Excellent |
| Chat with codebase context | Very good for codebases < 200K LOC |
| Composer multi-file edits | Good for consistent patterns; struggles with complex logic |
| Speed | Good — slightly slower than Copilot tab-complete |
Who Should Use Cursor
Use Cursor if:
- You do large refactors regularly (Composer pays for itself quickly)
- You frequently work in unfamiliar code and need codebase Q&A
- You're a solo developer or small team where $20/month is a reasonable tool cost
- You work primarily in VS Code and would benefit from deeper AI integration
Don't use Cursor if:
- Your team uses multiple IDEs (JetBrains, Neovim, etc.) — Copilot is better here
- Privacy/security requirements prohibit sending code to third-party servers
- You primarily want inline autocomplete and don't need codebase-aware features
- You're on a tight budget ($20/month is real money for individual developers)
Cursor vs GitHub Copilot: The Decision
| Cursor ($20/month) | Copilot ($10/month) | |
|---|---|---|
| Inline autocomplete | Equal | Equal |
| Codebase context | Yes | Limited |
| Multi-file edits | Yes (Composer) | No |
| IDE support | VS Code fork only | 6+ editors |
| Privacy | Code sent to servers | Code sent to servers |
| Stability | Minor rough edges | More stable |
If you spend significant time on cross-file refactors or codebase Q&A, Cursor's $10 premium over Copilot is justified. If you mostly want fast autocomplete, Copilot is the better value.
Getting Started
# Download from cursor.sh
# Install your VS Code extensions (settings sync works)
# Open your project — Cursor auto-indexes it
# Key shortcuts to learn first:
# Tab — Accept autocomplete suggestion
# Cmd+K — Inline edit (select code first, or empty cursor for generation)
# Cmd+L — Open chat with codebase context
# Cmd+I — Open Composer for multi-file edits
# @filename — Include a specific file in chat context
Final Verdict
Cursor is the best AI code editor available in 2025 for developers working in VS Code who do regular cross-file work. The codebase context and Composer features provide real productivity gains that plugins can't replicate.
The $20/month price and VS Code-only limitation are real constraints. If those work for you, Cursor is worth it. If not, GitHub Copilot for multi-IDE teams, or Continue.dev for privacy and budget flexibility, are the right alternatives.
Developer Tools for Your Cursor Workflow
While Cursor handles the code, these DevPlaybook tools handle the data:
- JSON Formatter — format and validate API responses instantly
- JWT Decoder — inspect authentication tokens
- Regex Tester — test patterns without running code
- Diff Checker — review changes side by side
- Base64 Tool — encode/decode in one click
All free, all in the browser, no account required.
Level Up Your Dev Workflow
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