Prompting Java for Backend Development

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

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com.
● End-to-end AI-assisted Java development workflow from core fundamentals to production-ready enterprise applications.
● Hands-on debugging, optimization, and code generation using AI tools and prompt engineering throughout every chapter.
● Intelligent Java application development covering agentic AI systems, RAG pipelines, and ethical AI considerations.

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.

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

About the Author
Dorival Querino is a Java Backend Specialist with more than 17 years of experience building enterprise systems for major financial institutions in Brazil. He specializes in Java, Spring, microservices, cloud-native architecture, and AI-assisted development. He is also an active speaker, mentor, author, and cloud-certified technology expert.

About the Technical Reviewer

Bhavesh Shah is a Senior Principal Software Engineer and Tech Lead with about 27 years of experience architecting, designing, and delivering enterprise Java, microservices, cloud, and web-based product solutions.

With a proven background in product development at iCIMS and IBM among others, Bhavesh has a deep expertise in Java, Spring, RESTful services, SQL, Kafka, AWS, distributed systems, Agile delivery, and performance engineering.

He is highly experienced in leading Agile teams, mentoring engineers, serving as Scrum Master, collaborating with product and architecture leaders, and driving strategic product initiatives from requirements through production delivery.