Hands-on AI Assisted Java and Spring Boot Development

AI can speed up Java development, but speed without structure often leads to poor architecture, fragile code, and more time spent fixing generated output.

This hands-on workshop shows you how to use AI effectively across a real Spring Boot workflow from project setup and scaffolding to feature development, testing, debugging, refactoring, and production readiness.

You’ll learn where AI genuinely adds value, how to give it better context, and how to keep architecture, maintainability, security, and code quality firmly under your control. Rather than relying on blind code generation, you’ll work through a structured development process that uses AI as a practical coding collaborator.

By the end, you’ll understand how to build Spring Boot applications faster without compromising the standards expected from production Java systems.

Who Should Attend?

This workshop is ideal for:

• Java developers who want to improve productivity with AI
• Spring Boot developers exploring AI-assisted workflows
• Backend and full-stack engineers building Java applications
• Developers who want to move beyond basic autocomplete and prompt-based coding
• Technical leads evaluating AI-assisted development for their teams
• Engineers who want to accelerate delivery without compromising maintainability

Basic familiarity with Java and Spring Boot is recommended.

What You’ll Get

• A practical introduction to AI-assisted Java and Spring Boot development
• Hands-on experience building a Spring Boot application from the ground up
• Guidance on prompting and context strategies for backend development
• Patterns for generating boilerplate without weakening application architecture
• Practical experience creating entities, DTOs, services, controllers, and API flows
• Techniques for AI-assisted debugging, refactoring, and persistence work
• Guidance on generating and improving unit and integration tests
• Production-readiness practices covering security, maintainability, and code quality
• Reusable workflows you can apply to future Java projects
• Live Q&A, resources, and clear next steps

What Will I Be Able to Do After This Workshop?

By the end of the workshop, you’ll be able to:

• Use AI more effectively across Java and Spring Boot workflows
• Scaffold a Spring Boot application while maintaining clean structure and boundaries
• Build entities, DTOs, services, controllers, and API endpoints with AI assistance
• Add validation, error handling, and separation of concerns to generated code
• Work with repositories and persistence more efficiently
• Debug common Spring Boot issues with AI support
• Refactor generated code for readability, maintainability, and stronger design
• Generate and improve unit and integration tests
• Review AI-generated changes critically before accepting them
• Apply practical guardrails for security, reliability, and production quality
• Introduce AI-assisted practices into real Java team workflows

You’ll leave with a working application and a repeatable process for using AI without giving up engineering judgement.

Additional Benefits

To make this workshop even more valuable for working professionals and teams, you’ll also receive:

Full Session Recording
Access to the complete workshop recording after the event, so you can revisit complex sections, re-implement concepts at your own pace, and use it as a long-term reference.

Certificate of Completion
A verifiable certificate recognizing your participation and hands-on learning, useful for professional development, internal reporting, and showcasing continuous upskilling.

You’ll leave with confidence, clarity, and a working system, not just slides.