Prompting Java for Backend Development - Build Enterprise Java Applications, Microservices, AI Agents, RAG Systems, and Production Backends Faster with Prompt Engineering #985859

Code Less. Build More. Scale Faster with Java and AI.

Book Description
Java powers the enterprise — and the developers who know how to direct AI with precision are the ones building and shipping production systems faster than anyone else. Prompting Java for Backend Development shows you how to translate natural-language intent directly into production-ready Java code using AI, accelerating every stage of development from core fundamentals to intelligent agentic applications.

You use prompt engineering techniques to generate Java code, debug errors, build microservices, and optimize production systems using modern AI tools and frameworks. Every chapter pairs practical Java development with guided prompt workflows, addressing real enterprise challenges including scalable architecture, code quality, and ethical AI use.

The final chapter pushes into intelligent Java application development — building a chatbot using Jlama and an autonomous agentic assistant with Retrieval-Augmented Generation (RAG). Hence, by the end of the book, you can confidently build, evaluate, and ship modern Java applications with AI!

What you will learn
● Translate natural language into production-ready Java code using AI-assisted prompt workflows.
● Build and debug real-world Java applications using modern IDEs and AI development tools.
● Generate, refine and validate Java code using targeted prompt engineering techniques.
● Architect and deploy scalable enterprise Java systems using microservices and cloud-native patterns.
● Build intelligent Java applications including chatbots and agentic AI systems using Jlama and RAG.
● Identify and mitigate AI limitations, bias and ethical risks in production Java development.

Table of Contents
1. Introduction to Generative AI in Programming
2. Setting up an AI-Powered Development Environment
3. Learning Java Fundamentals with AI
4. Crafting Beyond Java Classes with AI Prompts
5. Production-Flavored Mini Projects Using AI
6. Debugging and Optimization with AI
7. Limitations, Ethics, and Human Supervision
8. The Future of AI in Java Programming
       Index