ContextForge

ContextForge addresses the "last mile" problem in Machine Learning engineering: the gap between experimental research code and production-ready APIs. Often, ML repositories are undocumented and difficult to deploy. ContextForge bridges this gap by utilizing advanced static analysis (AST) and AI-driven insights to "forge" a complete production wrapper in seconds. Developed in collaboration with IBM Bob IDE, the platform analyzes any Python-based ML repository to identify entry points, dependency maps, and model frameworks. It then generates a high-performance FastAPI implementation, Pydantic data models for validation, and optimized Docker configurations. Beyond code generation, ContextForge leverages Google Gemini to provide a comprehensive "Developer Guide," offering architectural deep-dives and production readiness recommendations. The entire experience is wrapped in a professional dashboard following the IBM Carbon Design System. By automating repetitive scaffolding and documentation tasks, ContextForge empowers developers to turn their ML ideas into scalable impact faster than ever before, ensuring architectural integrity and design excellence from day one.