Magic AI

Magic is developing frontier code models to automate software engineering and accelerate AI research. Their core mission is to build safe Artificial General Intelligence (AGI) by automating the processes of AI research and code generation, aiming to improve models and solve alignment challenges more reliably than human efforts alone. The company employs a sophisticated approach that combines frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context windows, and inference-time compute to achieve its ambitious goals. The product surfaces, which are vertically integrated into their underlying Large Transformer Model (LTM) and infrastructure, are designed for both end-users (customers) and internal technical staff. This includes tools like a command-line interface for pairing with LTM to write code, execute commands, and answer questions about local codebases, as well as a web-based application for cloud-based development and account management. Magic's offerings are geared towards developers and researchers looking to leverage advanced AI for code generation, problem-solving, and accelerating their work in software development and AI research.