AI-Native Development

Overview

AI-Native Development focuses on building applications where AI is a first-class citizen, not an afterthought. This skill provides comprehensive patterns for integrating LLMs, implementing RAG (Retrieval-Augmented Generation), using vector databases, building agentic workflows, and optimizing AI application performance and cost.

When to use this skill:

• Building chatbots, Q&A systems, or conversational interfaces
• Implementing semantic search or recommendation engines
• Creating AI agents that can use tools and take actions
• Integrating LLMs (OpenAI, Anthropic, open-source models) into applications
• Building RAG systems for knowledge retrieval
• Optimizing AI costs and latency
• Implementing AI observability and monitoring

Why AI-Native Development Matters