🚀 Frontend AI Integration: Making Tool Calling Simple with Hashbrown Implementing AI assistants often involves a mountain of routine technical work—connecting models, managing prompts, and handling tool calling. But it doesn't have to be that way. In his latest guide, Manfred Steyer shows how the open-source project Hashbrown streamlines AI integration for Angular and other frontend frameworks. What’s inside: 🛠️ Secure Routing: How to bridge your frontend and LLMs (GPT, Gemini, Llama) using a lightweight, secure backend. 🛠️ Tool Calling 101: Enabling your AI assistant to trigger real actions in your app, like searching for flights or updating a store. 🛠️ Skillet Schema: Defining tool arguments with a simplified schema language built for LLM reliability. 🛠️ Proactive UX: Translating technical tool calls into user-friendly status updates. 🎯 Stop fighting the plumbing and start building smarter interfaces. 👉 Read Manfred's full walkthrough here: 🔗 f.mtr.cool/bodvnzcvqd #iJSConf #Angular #JavaScript #AI #Hashbrown #WebDev #SoftwareArchitecture #OpenSource