Spring AI: Building an Automated Code Review and Grading Agent

As backend developers, integrating artificial intelligence into enterprise Java applications is becoming a critical skill. This text-based course guides you through leveraging Spring AI to automate complex software development workflows, such as code reviews and assessment grading. You will transition from standard backend development to building intelligent, AI-powered Java applications. By studying foundational AI concepts, prompt engineering, and Spring AI components, you will construct a fully functional automated code reviewer and grading agent. What you'll learn: - Understand foundational Spring AI concepts, architecture, and model connectors. - Design structured prompts to extract reliable code analysis from large language models. - Configure vector databases and retrieval-augmented generation (RAG) to reference local coding standards. - Build automated code review workflows that analyze pull requests and provide constructive feedback. - Implement an auto-grading agent that evaluates programming submissions based on custom rubrics. - Apply modern Java practices, including records and structured output parsing, for robust AI integrations. The course starts with essential AI terminology and Spring AI configuration basics before progressing to hands-on implementation of the code review and grading logic. You will work through structured text explanations and detailed code snippets to build the agent step-by-step. This course is designed for Java and Spring Boot developers who are new to AI integration and want to expand their backend skill set. No prior experience with machine learning or AI models is required. Start reading today to bring intelligent automation to your Java development workflow.