Spring Boot Testing in Practice: What Changes (and What Doesn’t) with GenAI integrations

Testing is an essential part of modern software development—it ensures confidence, improves feedback loops, and supports better design. However, it can become increasingly complex, especially with the rise of generative AI integrations. Large Language Models (LLMs) introduce non-deterministic behavior, making quality assurance more challenging—particularly when models invoke external tools or access contextual memory.
This session offers a comprehensive overview of testing strategies at all levels in a Spring Boot application: from unit and slice tests to integration, system, and load testing. It also addresses the unique testing challenges posed by GenAI features such as Retrieval-Augmented Generation (RAG) and the Model Context Protocol (MCP).
Attendees will learn:

• How to write efficient slice tests in Spring Boot without restarting the entire application context
• How to use Testcontainers to provide external services and databases during testing
• What additional considerations arise when testing GenAI-enabled applications
• How to test scalability, concurrency, and throughput constraints
• How well-structured tests can drive better application design
• How to test multi-threaded applications and manage race conditions effectively

Based on real-world experience, this talk demonstrates how thoughtful, layered testing leads to more robust systems and faster development—whether you're building traditional microservices or GenAI-enhanced applications.