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Magic.dev is an artificial intelligence company focused on developing safe artificial general intelligence (AGI) to accelerate progress on high-priority global problems. The company builds frontier code models intended to automate software engineering and AI research workflows. Its technical approach combines large-scale pre-training, domain-specific reinforcement learning, extended context windows, and increased inference-time compute. Magic.dev employs a small team of engineers and researchers working on fundamental AGI-related research problems.
Developer Q&A site for programming problems, debugging, APIs, frameworks, and software engineering.
AI Context Linter is a GitHub Action that checks AI coding context files such as CLAUDE.md, .cursorrules and AGENTS.md for security issues, structural problems and AI anti-patterns. It auto-detects context files and runs 12 rules, including detection of hardcoded API keys and leaked home directory paths. Rules cover structure, vague or conflicting instructions and file-type specifics, with configurable token limits and disabled rules.
A free course for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. It includes 9 lessons of around 90 minutes each, covering computer vision, natural language processing, tabular analysis, and collaborative filtering, plus building and training models, random forests, deployment, and use of PyTorch, fastai and Hugging Face.