I built a type-safe .NET casting library powered by AI

a year ago

ArtificialCast is a lightweight, type-safe casting and transformation utility powered by large language models (LLMs).
It enables seamless conversion between strongly typed objects using type metadata, JSON schema inference, and prompt-driven reasoning.
Key features include zero configuration, bidirectional casting, schema-aware inference, and LLM-powered transformation.
ArtificialCast is part of the BIGPISS stack, which replaces conventional logic with inference, structure, and prompt design.
The tool is fully functional but fundamentally unsafe, as it generates outputs that may appear correct but are not guaranteed to be accurate.
It is intended for educational and demonstrative purposes only, not for production use.
Requirements include .NET 9 SDK or later, Ollama installed locally, and a local model like gemma3:4b.
The project serves as a satire of emerging AI engineering trends, highlighting the dangers of trading correctness for convenience.

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