Side-by-side comparison
Cursor vs Devin
vs
Side-by-side comparison based on our agenticness evaluation framework
At a glance
Quick Facts
| Feature | Cursor | Devin |
|---|---|---|
| Category | Coding Agents | Coding Agents |
| Deployment | On-device / local | Cloud-hosted |
| Autonomy Level | Semi-autonomous | Fully autonomous |
| Model Support | Multi-model | Single model |
| Open Source | No | No |
| MCP Support | Yes | No |
| Team Support | Enterprise | Small team |
| Pricing Model | Freemium | Usage-based |
| Interface | ide, cli | gui, chat |
36-point evaluation
Agenticness
21/36
Adaptive Collaborator
Cursor
17/36
Adaptive Collaborator
Devin
Dimension Breakdown (0-4 each)
Action Capability
Cursor
3
Devin
3
Autonomy
Cursor
3
Devin
3
Planning
Cursor
3
Devin
3
Adaptation
Cursor
2
Devin
2
State & Memory
Cursor
1
Devin
2
Reliability
Cursor
3
Devin
1
Interoperability
Cursor
2
Devin
1
Safety
Cursor
2
Devin
2
Scores from our agenticness evaluation framework. Higher is more autonomous.
Features & Use Cases
Cursor
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
Devin
Features
- Delegates coding tasks to cloud agents
- Breaks work into ticket, plan, test, and PR stages
- Integrates with Slack, Teams, Linear, and Jira
- Tests code changes before handing them off
- Creates pull requests for native review
- Handles migration and refactor workflows
- Supports parallel work across multiple subtasks
Use Cases
- Large codebase migrations where repetitive refactoring needs to be delegated
- Modernizing monoliths into smaller modules
- Fixing high-volume lint or style issues across many files
- Delegating engineering backlog work to an AI agent while engineers review changes
- Running structured refactor tasks that need testing and PR creation
Pricing
Cursor
- **Hobby (Free):** 2000 completions/month, limited slow requests
- **Pro ($20/mo):** Unlimited completions, 500 fast requests/month
- **Business ($40/seat/mo):** Everything in Pro + admin dashboard, usage analytics, SAML SSO
Devin
Pricing not publicly available.
Analysis
Our Verdict
Choose Cursor when you need a flexible developer environment and automation platform: it combines editor workflows with terminal/browser-capable agents, repository-grounding controls, a CI-friendly CLI, MCP connections, and an embeddable cloud-agent API. Choose Devin when your main goal is to assign team backlog items—especially migrations and refactors—to cloud agents that can plan, test, work in parallel, and submit PRs through Slack, Teams, Linear, or Jira-connected processes.
Choose Cursor if...
- +Choose Cursor if you need an AI coding environment that works interactively in an editor while also offering a headless CLI for scripted or CI/CD automation.
- +Choose Cursor if your automation requires agents to inspect repository context with semantic search, rules, skills, subagents, ignore rules, and access to a browser and terminal.
- +Choose Cursor if you want to automate operational repository work beyond implementation—such as CI failure diagnosis, PR code review, secret audits, localization updates, and keeping documentation synchronized with code.
- +Choose Cursor if you need to embed a code-aware agent in your own web or mobile product through HTTP endpoints and webhooks, or connect agent capabilities through MCP.
- +Choose Cursor if enterprise administration matters, including service accounts, admin and analytics APIs, SSO/SCIM, billing groups, network controls, and data-governance controls.
Choose Devin if...
- +Choose Devin if your team wants to delegate well-scoped engineering tickets through a structured cloud workflow: plan the work, make changes, test them, and open a pull request for review.
- +Choose Devin if migrations, monolith modernization, broad refactors, or large-scale lint/style cleanup are your primary workload and you want parallel agents handling separate subtasks.
- +Choose Devin if work enters engineering through collaboration and issue-tracking systems—specifically Slack, Microsoft Teams, Linear, or Jira—and you want the agent connected to those team workflows.
- +Choose Devin if your preferred operating model is autonomous cloud execution with engineers reviewing the resulting PRs rather than working primarily in an interactive editor or scripting agent runs in CI.