Building an AI Safety Reporting Service with React and Spring AI

As AI systems become integrated into daily applications, monitoring and reporting safety anomalies is more critical than ever. This text-based course guides you through the concepts and code needed to build a dedicated AI safety reporting service from scratch. You will learn how to connect a responsive user interface with a robust, intelligent backend. By studying structured explanations and practical code examples, you will gain the skills to handle user input, process it with AI models, and manage safety reports effectively. What you'll learn: Understand foundational AI safety concepts and reporting architecture; Build a responsive web interface using modern React components; Configure a Spring Boot backend integrated with Spring AI to process natural language; Apply basic prompt engineering to categorize and analyze safety reports; Manage data flow and state communication between React and Spring Boot; Implement secure API endpoints to protect sensitive reporting data. The course starts with essential definitions of AI safety and web architecture before moving into step-by-step code implementations for both frontend and backend systems. You will read clear explanations, analyze real-world code snippets, and learn to troubleshoot integration issues. This course is designed for beginner developers, software students, and aspiring full-stack engineers who want to explore applied AI. No prior experience with Spring AI is required, and basic familiarity with Java and JavaScript is all you need to get started. Start reading today to build your first AI-assisted reporting application.