Cursor
The AI code editor that edits your whole codebase, not just the line you're on
Editorial take
Cursor is the most powerful AI code editor available. Its multi-file editing is genuinely ahead of plugin-based alternatives, making large-scale refactors practical in ways GitHub Copilot cannot match. At $20/month for Pro it is a meaningful upgrade for any developer doing more than small isolated changes.
What is Cursor?
Cursor is what happens when you build an editor around AI rather than adding AI to an editor. It's a VS Code fork, so your extensions and keybindings carry over, but the AI capabilities go significantly deeper than what Copilot can do as a plugin.
The standout feature is multi-file editing. Describe what you want changed - "add authentication to all API routes" or "refactor this service to use the repository pattern" - and Cursor identifies every file that needs to change, shows you the diffs, and waits for your approval before applying anything. Getting six out of seven files right on a cross-cutting refactor is useful work that would take an hour manually.
Codebase chat is the other key capability: ask "where does the user session get invalidated?" or "what does this function actually do?" and get accurate answers based on your actual code, not generic patterns. For joining a new codebase, this alone can justify the subscription cost.
Best for
Developers who need to refactor or modify code across multiple files at once
Key strength
Full codebase context with multi-file editing
Score breakdown (out of 5)
What you would use it for
- →Refactoring code across multiple files with a single natural language instruction
- →Understanding unfamiliar codebases by asking questions about your actual project
- →Generating boilerplate and scaffolding for new projects or features
- →Writing and debugging tests with full project context across all files
- →Pair programming on complex architectural decisions with a model that knows your codebase
Pros & Cons
👍 Pros
- ✓Most powerful multi-file editing across a codebase
- ✓Whole-codebase context enables cross-file refactoring at scale
- ✓VS Code familiar interface
- ✓Fast and responsive
- ✓Free tier available for hobbyist use
👎 Cons
- ✗$20/mo costs more than Copilot ($10/mo)
- ✗Full VS Code parity not always present
- ✗High resource usage
- ✗Steep learning curve for traditional editor users
Key Features
- ✓ Multi-file AI editing (Composer)
- ✓ Codebase-aware chat
- ✓ Tab completion
- ✓ VS Code extension compatibility
- ✓ Privacy mode
- ✓ Multiple AI model support
Available on
Integrates with
Cursor Pricing
✅ Cursor has a free plan - no credit card required to start.
Pro
- ✓Unlimited completions
- ✓500 fast premium requests/month
- ✓Unlimited slow requests
Business
- ✓All Pro
- ✓Centralized billing
- ✓Admin dashboard
- ✓Enforced privacy mode
Video Review
Cursor vs Competitors
AI models powering Cursor
Anthropic - 1M ctx
Point release of Anthropic's flagship, tuned for long-horizon agentic work with a large effective price cut.
Specs & pricing →OpenAI - 1050000 ctx
OpenAI's next major model with critical cybersecurity capabilities
Specs & pricing →Google - 1M ctx
Most intelligent workhorse model with enhanced reasoning and coding
Specs & pricing →From the blog
One permission wasn't enough. The AI agent's token became a backdoor.
A developer granted an ops agent write access to pull requests, but the underlying token had push permissions too, creating an unintended security vulnerability that could compromise entire systems.
Sep 26, 2026
Claude Code hits $200 monthly. Developers debate if the tier justifies the cost.
Anthropic's highest-tier Claude Code pricing sparks discussion among developers about ROI. For some professional coders, the advanced features may pay for themselves; for others, mid-tier plans offer better value.
Sep 23, 2026
OpenAI used LLMs to design its Jalapeño chip. Hardware engineering just entered the AI era.
OpenAI applied large language models to physical chip design, proving AI can solve concrete engineering problems beyond code. The project demonstrates LLMs tackling real-world hardware constraints and optimization.
Sep 19, 2026
Developer resources
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