From Experiment to Enterprise: AI-Assisted Full-Stack Java Development Using a Single Prompt
Topic
Building Enterprise-Ready Full-Stack Java Applications Using AI Through Structured Prompting
Date & Time
On-Demand
Duration
60 minutes
Why Attend?
Generative AI can generate application code in seconds, but most examples stop at simple prototypes. Enterprise software development requires far more discipline, including secure architecture, validation layers, testing, and maintainable structure.
In this session, see how a structured approach to prompting can guide AI to generate a full-stack Java application while maintaining enterprise engineering standards.
Through a live demonstration using GitHub Copilot, the webinar will build an end-to-end application with Spring Boot, JWT-based authentication, role-based access control, validation, unit testing, and a React frontend, followed by a review of the generated architecture and security practices.
What Makes This Webinar Different?
🔹 Live End-to-End Application Generation
Watch a full-stack Java application scaffold generated using a structured prompt.
🔹 Architecture and Security Validation
Understand how developers review AI-generated code to validate architecture structure, authentication setup, validation layers, and testing practices.
🔹 Practical AI Development Workflows
Explore how AI-assisted development tools such as GitHub Copilot, Claude, Cursor, and structured prompting frameworks can support modern software engineering workflows.
Rather than positioning AI as a replacement for developers, the session demonstrates how AI can reduce scaffolding effort while developers retain ownership of architecture, security, and production readiness.
Who Should Join?
🔹 Java Developers (Intermediate to Advanced) interested in accelerating Spring Boot application development using AI tools
🔹 Technical Leads and Solution Architects evaluating how Generative AI can be responsibly integrated into enterprise development workflows
🔹 Engineering Managers and Delivery Leads exploring ways to reduce time-to-first-build while maintaining engineering quality
🔹 DevOps and Platform Engineers interested in how AI can support project scaffolding, environment setup, and CI/CD preparation
Industry Impact
AI-assisted development can help teams accelerate the creation of secure applications with role-based access, authentication flows, and integrated frontend–backend architectures while maintaining enterprise development standards.
These approaches are particularly relevant for sectors such as healthcare, banking and financial services, retail and e-commerce, mobility and logistics, and enterprise internal platforms, where systems like patient portals, financial APIs, order platforms, booking systems, and internal workflow tools require strong security and structured architecture.
Secure Your Spot
Join this live session to see how structured prompting and AI-assisted tools can accelerate enterprise Java development, and get ready for our upcoming Java Hackathon.
Register now to reserve your place.
Java Hackathon details
What You’ll Learn
✅ How to design enterprise-grade prompts that include business requirements, security rules, architectural guardrails, and testing expectations
✅ Practical implementation of a Spring Boot 3 backend with JWT-based authentication and role-based access control
✅ How DTO separation, validation layers, and global exception handling support clean architecture
✅ Integration of a React frontend with a Spring Boot backend, including authentication flow and secure API communication
✅ Best practices for validating AI-generated code and maintaining governance in enterprise environments
Meet the Speaker
Sarath V
Enterprise Java & AI-Assisted Development
Sarath is a seasoned Java professional with over 12 years of experience designing and delivering secure, scalable enterprise applications. His expertise includes Spring Boot architectures, microservices design, CI/CD automation, security implementation, and cloud-native development practices.
He actively explores the practical adoption of Generative AI tools such as GitHub Copilot and other LLM-based assistants to accelerate enterprise software delivery while preserving engineering discipline, governance standards, and production readiness.
How to Register and Join the Webinar
Just click on Register Now button and fill up the registration form. After the registration, we will send you an email containing the link to join the chosen webinar.
You can join the webinar using the link from your iOS and Android mobile and tablet devices, as well as on your computers.
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