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Magic.dev

Autonomous AI engineer trained on long contexts โ€” handles hour-long coding sessions without losing track.

B68๐Ÿ’ปCodeAutonomousSubscription
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magic.dev

Agent Rank breakdown

Agent Rank
68/ 100
BB-tier
Autonomy
9
Capabilities
6
Integrations
2
Pricing
9
Polish
5
Verifiability
10

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

Capabilities

  • Code
  • Tool use
  • Memory

Integrations

Version control
GitHubGitLab

Pricing tiers

Enterprise
Custom
Engineering teams
  • +Long-context model (100M+ tokens)
  • +Codebase-wide reasoning
  • +Custom deployment

Pros & cons

Pros
  • +Unique long-context model โ€” can hold an entire mid-sized repo in one session
  • +Strong on cross-cutting refactors that other agents struggle with
  • +Funded at frontier-lab levels โ€” engineering muscle behind the product
Cons
  • โˆ’Enterprise pricing โ€” no public per-seat tier
  • โˆ’Newer entrant โ€” fewer customer references than Devin or Cursor
  • โˆ’Best for very large codebases; overkill for solo + small-team work
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Autonomous AI engineer trained on long contexts โ€” handles hour-long coding sessions without losing track. Start with the subscription tier.

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