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Magic

Frontier AI agents for software engineering.

★★★★☆ 4.4 3,500 saves Starting price: Research preview, custom

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Magic develops frontier AI agents for software engineering and code reasoning.

Developers follow it for long-context coding models and automated development research.

In-depth review

Frontier AI agents for software engineering. Magic competes in the AI Code Assistants category, where our editors have reviewed 343 tools so far. It has been bookmarked by 3,500 readers, making it one of the most discussed options in its class. This in-depth review breaks down exactly where Magic shines, where it falls short, and who should choose it.

In real-world use, Magic's clearest strengths are Long-context code research; Agent-focused development; Strong engineering team. These advantages matter most for Researching code agents, Testing long context, Automating engineering, Prototyping tools — the exact workload Magic was designed around. Readers who prioritise these qualities consistently rank it among their favourites in AI Code Assistants.

No tool is perfect — before you commit, weigh Early product with waitlists; Docs are still growing. Magic pricing starts at Research preview, custom. Always confirm the latest plans on the official website, because prices change often. Because you can evaluate the full experience free of charge, Magic is a low-risk tool to try this week. Magic is a solid, well-reviewed choice in AI Code Assistants and deserves a place on your shortlist.

How Magic compares

Magic is rated 4.4 out of 5, below the AI Code Assistants category average of 4.5 across 343 rated tools. Its closest alternatives are Cursor, GitHub Copilot, Replit AI. Popular alternatives include Cursor, GitHub Copilot, Replit AI. Compare their pricing, ratings, and reviews before you decide.

Pricing

Magic pricing starts at Research preview, custom. Always confirm the latest plans on the official website, because prices change often.