

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.
Meet Your Instructor
Laurenţiu Spilcă
Author Java Champion Java Community Lead at Endava
Laurenţiu is a Java Champion, author, speaker, and educator dedicated to helping developers strengthen their Java and application security skills. Best known as the author of multiple bestsellers such as Spring Security in Action, he combines practical experience with clear, accessible teaching through his books, conference talks, and YouTube channel, where he makes complex Java and security concepts easier to understand and apply.
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.