Langchain4j Testing Strategies
giuseppe-trisciuoglio/developer-kitUnit tests, integration tests, and end-to-end checks help you build reliable Java AI applications. This skill shows you how to test code that uses LangChain4j. You can mock AI models to get fast, predictable results without calling real services.
For deeper validation, you can run Testcontainers to spin up real databases or AI servers. This makes sure your code works with actual components like vector stores or chat models. The patterns here also cover testing RAG workflows and tool execution.
Following a testing pyramid, you can keep most tests quick and isolated. A smaller number of tests use real services to catch integration issues. This approach saves time and reduces flaky failures in your AI projects.
Add Langchain4j Testing Strategies skill to your workflow
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mkdir -p ~/.claude/skills/langchain4j-testing-strategiesProject
mkdir -p .claude/skills/langchain4j-testing-strategiesSource Repository
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