Magic

Magic develops code generation models to assist software developers. The company's goal is to create an AI coworker that revolutionizes the coding process and contributes to the pursuit of Artificial General Intelligence (AGI).

Key features:
- Code generation models that act as a developer's coworker
- Proprietary architecture with a multi-million-token context window for complex and context-aware code generation
- Emphasis on AGI safety and robust safety measures
- Optimized GPU kernels for efficient performance
- Large Kubernetes clusters with thousands of GPUs for computational needs
- Comprehensive and diverse dataset collected from the internet
- Adaptable sharding framework for training new architectures
- Hardware-aware algorithms optimized for performance and efficiency

How it works:
Users interact with Magic primarily through a web app or other interfaces that integrate with their development environments. The product assists developers by generating code snippets, providing suggestions, and potentially automating parts of the coding process.

Integrations:
While specific integrations are not detailed, Magic's product is likely to integrate with popular development environments and tools such as IDEs, version control systems, and cloud platforms.

Use of AI:
Magic leverages generative artificial intelligence to create its code models. These models are built on a proprietary architecture that extends beyond traditional transformers, featuring a multi-million-token context window for understanding and generating complex and contextually relevant code.

AI foundation model:
Magic's code generation models are built on a proprietary architecture that extends beyond traditional transformers, featuring a multi-million-token context window.

How to access:
Magic is available as a web app and potentially other interfaces that integrate with development tools. The company also offers APIs and SDKs for more customized integrations.