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Tag: long-context

Is Magic Profitable? The Economics of Building Long-Context AI for Software Engineering

Magic looks less like a conventional developer SaaS company and more like a focused frontier research lab for software engineering. That makes its profitability timeline fundamentally different.

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Magic and the Bet on Long-Context AI for Software Engineering

Magic bet that software-engineering agents need unusually long context windows, building LTM models intended to reason over entire repositories and eventually combine long context with pretraining and agentic reinforcement learning.

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