AI Development

A comprehensive guide to Claude prompt engineering based on Anthropic's official documentation, ranked by impact on cost, quality, and speed for production LLM applications.

Anthropic continues its aggressive update cycle with the release of Claude 4.6 Sonnet, offering significant improvements in coding, reasoning, and multimodal processing while maintaining its position as the industry's most balanced mid-sized model.

A comprehensive playbook for getting high-quality, reliable output from small-scale 7B models like Llama 3 and Mistral through structured systems design and context injection.

A deep dive into the Model Context Protocol (MCP), explaining how to bridge the gap between static LLMs and real-time data using TypeScript, Python, and Rust implementations.

A deep dive into the Model Context Protocol (MCP), explaining how Large Language Models discover and execute external tools through a standardized architecture.

Discover how to build DeepMath, a high-performance math reasoning agent using Hugging Face's smolagents library and n1n.ai APIs. Learn why code-as-actions is the future of LLM reasoning.

Explore the most impactful Python learning resources from 2025, covering Python 3.14's breakthrough features, AI agent development, and foundational mastery for the modern developer.