Show HN: I made Semantix – Infuse meaning into code with LLMs

3 points

2 years ago

After months of coding and experimenting, I'm excited to share Semantix, an open-source Python library that empowers developers to write more expressive and intelligent code using the power of large language models (LLMs).

Key features: - Semantic Type System: Define rich, meaningful types carrying contextual information - Function Enhancement: Automatically augment functions with LLM-powered capabilities - Implicit Intelligence: Leverage advanced NLP and reasoning without direct API calls - Developer-Friendly: Seamlessly integrate into existing Python codebases

Semantix bridges the gap between traditional programming and AI-assisted development. It allows you to infuse meaning into your code through enhanced variable typing (semantic typing) and leverages LLMs behind the scenes to transform ordinary functions into intelligent, context-aware operations - all without explicit LLM calls or Funtion Calling.

I built Semantix to make it easier for developers to harness the power of AI in their everyday coding. Whether you're working on data analysis, natural language processing, or any Python project that could benefit from enhanced semantic understanding, Semantix can help you write more powerful code with less effort.

Try it out and let me know what you think! I'm especially interested in hearing about unique use cases or integration ideas.

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