#ai-tools

Tools using LLMs to help developers write, understand, debug, and refactor code, from autocomplete to agents that implement complete features.

Demonstration of dual-interface architecture where the same business logic serves both a traditional web application and an MCP server for AI tools.

Open protocol created by Anthropic that standardizes how AI applications connect with external tools, data, and services through a universal interface.

The discipline of designing effective instructions for language models, combining clarity, structure, and examples to obtain consistent, high-quality responses.