Skip to main content
This domain is for sale. Contact Snagged to learn more.
Side-by-side comparison

Cursor vs Devin

Cursor

AI coding agents and automation for your codebase

AgenticnessAdaptive Collaborator
vs
Devin

An AI software engineer for autonomous coding work

AgenticnessAdaptive Collaborator

Side-by-side comparison based on our agenticness evaluation framework

At a glance

Quick Facts

FeatureCursorDevin
CategoryCoding AgentsCoding Agents
DeploymentOn-device / localCloud-hosted
Autonomy LevelSemi-autonomousFully autonomous
Model SupportMulti-modelSingle model
Open SourceNoNo
MCP SupportYesNo
Team SupportEnterpriseSmall team
Pricing ModelFreemiumUsage-based
Interfaceide, cligui, chat
36-point evaluation

Agenticness

20/36
Adaptive Collaborator
Cursor
16/36
Adaptive Collaborator
Devin

Dimension Breakdown (0-4 each)

Action Capability
Cursor
3
Devin
3
Autonomy
Cursor
3
Devin
3
Planning
Cursor
2
Devin
3
Adaptation
Cursor
1
Devin
2
State & Memory
Cursor
2
Devin
2
Reliability
Cursor
3
Devin
1
Interoperability
Cursor
2
Devin
1
Safety
Cursor
2
Devin
1

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 plus automation platform: it can operate with rich repository context, browser and terminal access, a headless CI-oriented CLI, MCP-connected tools, and an embeddable agent API. Choose Devin when the main goal is to delegate ticket-driven engineering work at team scale—especially migrations, refactors, and backlog cleanup—using Slack, Teams, Linear, or Jira, with the agent planning, testing, and opening PRs for engineers to review.

Choose Cursor if...

  • +Choose Cursor if you need agents that can work directly with your repository through an editor-like environment, integrated terminal, browser, and semantic codebase context—such as diagnosing a failed CI run, inspecting logs, and preparing a patch.
  • +Choose Cursor if you want repeatable, scriptable engineering automation in CI/CD: its headless CLI, permissions, parameters, and output formatting are designed for workflows such as PR code review, secret audits, localization updates, and documentation synchronization.
  • +Choose Cursor if you need to extend agent capabilities through MCP or embed a code-aware agent in your own web or mobile product through HTTP endpoints and webhooks.
  • +Choose Cursor if your organization needs developer-agent administration and governance features, including service accounts, SSO/SCIM, admin and analytics APIs, network controls, and privacy/data-governance controls.

Choose Devin if...

  • +Choose Devin if your priority is delegating well-bounded engineering tickets through a cloud workflow that proceeds from ticket and plan to tests and a pull request for human review.
  • +Choose Devin if your team manages work primarily in Slack, Teams, Linear, or Jira and wants to hand off migrations, refactors, and backlog tasks from those collaboration and issue-tracking systems.
  • +Choose Devin if you need to parallelize repetitive implementation work across subtasks—for example, modernizing a monolith, applying broad refactors, or resolving large volumes of lint and style issues.
  • +Choose Devin if you want a fully autonomous cloud agent focused on executing structured coding tasks and delivering reviewable PRs rather than an interactive local development environment and automation toolkit.