Cursor vs Devin Desktop
An agentic IDE that helps you code faster without leaving flow
Side-by-side comparison based on our agenticness evaluation framework
Quick Facts
| Feature | Cursor | Devin Desktop |
|---|---|---|
| Category | Coding Agents | Coding Agents |
| Deployment | On-device / local | On-device / local |
| Autonomy Level | Semi-autonomous | Semi-autonomous |
| Model Support | Multi-model | Single model |
| Open Source | No | No |
| MCP Support | Yes | Yes |
| Team Support | Enterprise | Small team |
| Pricing Model | Freemium | Freemium |
| Interface | ide, cli | gui, ide |
Agenticness
Dimension Breakdown (0-4 each)
Scores from our agenticness evaluation framework. Higher is more autonomous.
Features & Use Cases
Features
- AI agents that can use an integrated browser and terminal to browse the web and run shell commands as part of workflows
- Rich context system with semantic search, ignore rules, skills, subagents, and rules to keep agents grounded in large codebases
- Model Context Protocol (MCP) support for connecting external tools and services as agent capabilities
- Automation-focused CLI with headless mode, permissions, parameters, and output formatting for scripting and CI/CD use
- Prebuilt CLI cookbooks for tasks like automated code review, fixing CI issues, secret audits, translating localization keys, and updating documentation
- Cloud agent API with HTTP endpoints and webhooks for embedding Cursor-powered agents into web and mobile applications
- Integrations with Git, GitHub, GitLab, and deeplinks to align agents with existing repository workflows
- Editor-like environment with inline editing, terminal integration, configurable keyboard shortcuts, themes, shell configuration, and multi-language support (e.g., Python, JavaScript/TypeScript, Java, Swift)
Use Cases
- Automating code review in CI using the Cursor CLI and GitHub Actions to comment on pull requests and suggest changes
- Diagnosing and fixing failing CI pipelines by letting an agent inspect logs, run terminal commands, and propose patches
- Running recurring security and hygiene checks such as secret audits or config reviews across repositories
- Translating and maintaining localization key files with an automated workflow instead of manual editing
- Keeping documentation in sync with code changes by using CLI recipes that scan code and update docs automatically
Features
- AI agent workflow inside the IDE via Cascade
- Context-aware codebase understanding on production codebases
- Autocomplete for code generation
- Live website previews inside the editor
- Automatic lint error fixing when generated code fails checks
- MCP support for connecting custom tools and services
- Tab to Jump cursor prediction for navigation
- Inline command generation and refactoring with Cmd+I
Use Cases
- Refactoring existing codebases with natural-language commands
- Generating boilerplate and repetitive code faster inside an IDE
- Debugging and fixing code that fails lint checks
- Making targeted changes to live web app UI from the editor
- Using terminal instructions in natural language while coding
Pricing
Our Verdict
Pick Cursor when you need the AI to take repeatable, operational actions across repositories—especially through its automation-focused CLI cookbooks, GitHub/GitLab integrations, and CI/CD-oriented workflows where agents inspect logs, run shell commands, and propose patches—plus you may want its cloud agent API/webhooks to embed agents into your own web/mobile apps. Pick Devin Desktop when you want to keep everything inside the IDE and iterate quickly with a command center for coordinating multiple agents, live website previews, and tighter developer ergonomics like autocomplete/debugging, inline refactoring (Cmd+I), and automatic lint-error fixing while you work; it’s the better fit for interactive refactor/build/debug loops rather than CI automation pipelines.
Choose Cursor if...
- +Choose Cursor if you want to automate repo-wide engineering workflows end-to-end from an agent, not just inside the editor—Cursor explicitly includes an automation-focused CLI (with headless mode, permissions, parameters, and formatted output) plus “prebuilt CLI cookbooks” for tasks like automated code review, fixing CI issues, secret audits, and updating documentation.
- +Choose Cursor if your priority is CI/CD and infrastructure-adjacent actions: the agent can use an integrated terminal and browser, inspect logs, run shell commands, and you can operationalize it via the GitHub/GitLab integrations and CI-oriented use cases (e.g., commenting on PRs / diagnosing failing pipelines).
- +Choose Cursor if you’re embedding an AI assistant into your own products: Cursor offers a cloud agent API with HTTP endpoints and webhooks intended to embed Cursor-powered agents into web/mobile apps.
- +Choose Cursor if you need a codebase-grounding setup for large repositories: its context system includes semantic search, ignore rules, skills/subagents, and “rules to keep agents grounded,” plus MCP support for connecting external tools and services.
Choose Devin Desktop if...
- +Choose Devin Desktop (Windsurf) if you want the strongest “stay in the IDE” experience—Cursor is more automation/CI-centric, while Devin Desktop keeps the full IDE workflow (syntax highlighting, autocomplete, debugging) and layers an agent command center (“Cascade”) to manage multiple agents while you code.
- +Choose Devin Desktop if you value interactive web/UI iteration during development: it includes live website previews inside the editor and supports refactoring/changes via one-click “Codelenses,” plus natural-language terminal instructions while coding.
- +Choose Devin Desktop if you want coding-agent help tightly coupled to correctness loops: it can automatically fix lint errors when generated code fails checks, helping you converge without leaving the IDE.
- +Choose Devin Desktop if you’re building custom tool connections via MCP and want that integrated into an IDE workflow: it supports MCP for connecting custom tools/services and includes agent features like @mentions for files/functions/classes and Tab-to-Jump navigation for working fast across large codebases.