Engineering Insights

Expert perspectives on agentic AI, LLM integration, and building production-grade software systems.

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Open Source Resources

Useful tools and templates from our engineering team

Official collection of notebooks and guides for using Claude effectively. Includes prompt engineering patterns, tool use examples, and production best practices.

Python Recommended for LLM integration

Framework for developing applications powered by LLMs. Essential for building agentic workflows, RAG pipelines, and complex AI orchestration.

Python Core framework we use daily

Open-source embedding database for AI applications. Perfect for building semantic search and retrieval systems with minimal setup.

Python Best for RAG development

Examples and guides for using the OpenAI API. Covers embeddings, fine-tuning, function calling, and advanced prompting techniques.

Python GPT-4 integration patterns

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