Life After Dad Joke Apps Building “Enterprise Grade” AI Frameworks for Java
summary
Covers how to move prototypes into production using Java and the JVM: concrete patterns include Spring AI integrations, using on‑prem models for data tenancy, agentic workflows with RAG, and deterministic verification via compiler and tests (unit, end‑to‑end with real LLMs and testcontainers). Shows monitoring of prompts/responses, fitness functions, tools like ArchUnit/Modulith for automatic checks, and real examples where coding agents produce usable modules that humans stitch into maintainable systems.
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chapters (9)
- 0:00Welcome and introduction
- 2:17Most dangerous AI assumptions
- 4:44Why AI isn't easier in enterprise
- 8:19Determinism vs agent autonomy
- 15:01Testing in the AI era
- 20:17Language importance in AI
- 32:32Code quality and readability
- 40:41Future of coding with AI
- 46:18Q&A with audience
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