Business-ready architecture. Work with an open source leader.
Try Payara Enterprise
Luxury German Vehicle Manufacturer Migrates from GlassFish to Payara Server
Download BMW Case Study PDF
This guide explores how AI is revolutionizing Jakarta EE development by enhancing productivity, reducing manual effort, and enabling smarter workflows. Whether you’re new to enterprise Java or an experienced developer, this guide will help you harness the power of AI to streamline your development process.
What you’ll learn:
The key challenges in traditional Jakarta EE development workflows
How AI tools improve speed, accuracy, and code quality
Real-world stats on productivity gains using AI in Java development
A side-by-side comparison of traditional vs. AI-enhanced development practices
How to use Payara Starter to generate ER diagrams and full-stack apps from natural language prompts
How the Jeddict AI Assistant boosts code generation, testing, documentation, and more within Apache NetBeans
Practical ways AI can support faster prototyping, onboarding, and team collaboration
Why AI is becoming essential in modern enterprise application development
Perfect for developers looking to stay competitive and build faster with smarter tools.
Category: User Guide
Subject: Jakarta EE
