📖 The AI Tool Bible

Cursor vs Magic.dev

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Cursor
Coding
Magic.dev
Coding
TaglineAI-first VS Code fork — chat, edit, and agentic coding in one IDE.Frontier code models with ultra-long context aimed at automating software engineering
CategoryCodingCoding
PricingFreemium· Free hobby; Pro $20/mo; Business $40/moEnterprise· No public pricing. Access is via research partnerships and enterprise engagements; no self-serve tier or public API published as of writing.
ModelClaude / GPT (configurable)In-house frontier code models (including a long-term-memory 'LTM' model family with reported 100M-token context)
Editorial score9.5 / 10
Use cases
codingrefactorsagentic editsIDE
Whole-repo refactorsLong-horizon feature implementationAutonomous PR generationLarge-scale codebase migrationSpec-driven engineering agentsAI research on code modelsLong-context reasoning benchmarks
Pros
  • Best-in-class multi-file edits
  • Choice of underlying models
  • Composer agent is genuinely useful
  • Tab completion is faster than Copilot
  • Ambitious ultra-long context research (100M-token class) that could obviate retrieval for whole-codebase reasoning
  • Heavyweight funding and compute (thousands of GB200 GPUs) backing sustained frontier training runs
  • Focused solely on code and software engineering, not a general-purpose chatbot spread thin across use cases
  • Backed by credible technical investors (Nat Friedman, Daniel Gross, Sequoia, CapitalG) and Google Cloud infrastructure partnership
  • Research direction targets autonomous engineering agents rather than narrow autocomplete, which is the direction the market is moving
Cons
  • Heavier than vanilla VS Code
  • Pricing creeping up
  • Some extensions lag VS Code
  • No public API, no self-serve product, and no published pricing — you cannot try it today
  • Very little third-party benchmarking or independent evaluation of the long-context claims
  • Site is heavier on mission statements and hiring than shipping product documentation
  • Small team relative to incumbents (OpenAI, Anthropic, Google) it must compete with on model quality
  • Enterprise-only access model means no community, no plugin ecosystem, no learning-in-public momentum
Websitecursor.commagic.dev
Pick Cursor if
  • Best-in-class multi-file edits
  • Choice of underlying models
  • Composer agent is genuinely useful
  • Tab completion is faster than Copilot
Pick Magic.dev if
  • Ambitious ultra-long context research (100M-token class) that could obviate retrieval for whole-codebase reasoning
  • Heavyweight funding and compute (thousands of GB200 GPUs) backing sustained frontier training runs
  • Focused solely on code and software engineering, not a general-purpose chatbot spread thin across use cases
  • Backed by credible technical investors (Nat Friedman, Daniel Gross, Sequoia, CapitalG) and Google Cloud infrastructure partnership