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Magic

Artificial Intelligence
Magic is a San Francisco-based AI research company developing large language models with extremely long context windows specifically optimized for autonomous software engineering tasks.
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Magic was founded in 2022 by Eric Steinberger and Sam Denton, entering the increasingly competitive AI coding assistant and autonomous software engineering category with a research-focused approach centered specifically on developing models capable of processing and reasoning over extremely long context windows, meaning the amount of text, including entire large codebases, that a model can consider simultaneously when generating a response, based on the argument that many limitations in AI coding assistants' ability to work effectively on large, complex, real-world software projects stem from models simply not being able to hold enough of a codebase's full context and history in view at once to reason about it as effectively as an experienced human engineer familiar with the entire project could. The company has pursued training its own foundation models from scratch specifically optimized for long-context reasoning and coding tasks, rather than relying entirely on fine-tuning existing third-party models, requiring Magic to build or access substantial computing infrastructure for large-scale model training, an unusually capital-intensive and technically ambitious approach for a relatively young AI startup relative to many competitors that build products primarily as a layer on top of existing large language model APIs from major labs. Magic has positioned its long-context research as a foundational technical bet that could meaningfully differentiate its approach to autonomous coding agents once fully realized, arguing that being able to reason over an entire large codebase's context simultaneously, rather than only small, retrieved snippets of relevant code, could unlock meaningfully more capable autonomous software engineering assistance for complex, real-world engineering tasks than context-limited approaches allow. The company has built infrastructure partnerships, including with Google Cloud, to access the substantial computing resources needed for its ambitious model training efforts. Magic has raised substantial venture funding, including a large round backed by Eric Schmidt, Jane Street, and Atlassian, reaching a valuation exceeding $1.5 billion, competing in the intensely competitive and well-funded AI coding assistant category alongside Cognition AI, Cursor-maker Anysphere, and various major AI labs' own coding-focused model offerings.
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