Building frontier code models to automate software engineering
Magic is building frontier code models that combine large-scale pretraining, domain-specific reinforcement learning, and ultra-long 100M token context windows to automate software engineering end-to-end. The company's models can read entire codebases, documentation, and issue trackers to plan, write, review, and test code autonomously, with the goal of safely accelerating AGI development through automated AI research.
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