Building AI Agents Doesn't Have to Be Rocket Science (Spoiler: It's Mostly API Calls)

A developer created a production-ready boilerplate that simplifies AI agent development by demonstrating that building chatbots and AI assistants primarily involves making API calls to language models rather than complex machine learning expertise. The open-source project uses NestJS, React, and TypeScript with Google Gemini as the default provider, featuring real-time streaming responses and plans to expand support for OpenAI, Anthropic, and other LLM providers through separate branches.