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The Enterprise Guide to AI in Java: From POC to Production

A pragmatic roadmap for senior Java developers, architects, and tech leaders to cross the POC-to-production chasm with compliant, observable, cost-aware AI on the JVM.

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What's Inside

1) The New Mandate for Enterprise Java

From AI hype to a strategic requirement, and why to integrate AI inside the JVM stack instead of siloed prototypes.

2) The Modern Java AI Toolkit

LangChain4j for vendor-agnostic orchestration and reusable chains (RAG, templates, memory).

Quarkus for ultra-fast, container-first services and the Easy RAG developer experience.

Jlama for running LLMs on-prem with strong data control, integrated via LangChain4j.

3) Core Architectural Patterns

RAG pipeline and when to use hybrid search.

AI microservice vs. embedded component trade-offs.

Agents with function calling (tools, controlled execution loop, sandboxing).

High-throughput designs using streaming and virtual threads.

4) A Phased Approach to Production

Phase 1: concept validation.

Phase 2: architecture and technology selection.

Phase 3: solution hardening (embedding versioning, fault tolerance, cost management).

Phase 4: governance, security, observability and auditability.

5) Looking Ahead

Agentic systems at scale and open standards such as MCP gaining broad adoption, and what that means for Java teams today.

Who is this for?

Senior Java developers, architects and CTOs who need to move beyond demos and ship production-grade AI in their JVM ecosystem.

Author

Written by Elder Moraes, Java Champion and international speaker on Java, architecture and AI.

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