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Magic

AI research lab building long-context software engineering agents.

AI CodingPaid · Custom pricing

Magic is an AI research lab building long-context software engineering models and agents, focused on enabling AI to reason over and modify very large codebases effectively.

Pros

  • +Focused research on long-context code understanding
  • +Aiming to handle very large, complex codebases
  • +Backed by significant research investment
  • +Ambitious technical approach to engineering automation

Cons

  • Products/access still maturing and limited availability
  • Less consumer-ready than established coding tools today
  • Details of commercial offering still evolving

Best for

Common use-cases

  • exploring long-context AI reasoning over large codebases
  • following emerging AI software engineering research
  • anticipating next-generation coding agent capabilities
  • evaluating cutting-edge engineering AI approaches

Integrations

API (limited access)

Alternatives to Magic

See all Magic alternatives →

Magic FAQ

How much does Magic cost?
Magic uses paid pricing, starting from Custom pricing. Check Magic's site for current plans.
What are the best Magic alternatives?
Top alternatives include GitHub Copilot, v0 by Vercel, Aider. See the full list of Magic alternatives for a ranked comparison.

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