Learn to build and deploy full-stack Java apps using AI tools like Cursor IDE and GitHub Copilot within IntelliJ IDEA
What you will learn
How to use the Cursor IDE as your AI development assistant
How to boost productivity with Copilot in IntelliJ IDEA
The principles and practice of agentic coding (aka vibe coding)
How to structure Java projects and build UIs using Spring Boot and Thymeleaf
How to deploy your applications so theyβre accessible online
How to use AI agents to develop any type of application β faster and smarter
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- Unlock a new paradigm in software development by harnessing the power of AI as your co-pilot for creating robust, full-stack Java applications.
- Dive into the symbiotic relationship between human developers and intelligent coding assistants, mastering the art of **agentic coding** to accelerate your workflow and enhance creativity.
- Explore the cutting-edge capabilities of Cursor IDE, experiencing firsthand how an AI-native development environment can revolutionize code generation, debugging, and iterative refinement.
- Seamlessly integrate GitHub Copilot within the familiar IntelliJ IDEA ecosystem, transforming your coding sessions into a collaborative dance of human insight and AI assistance.
- Gain a practical understanding of **AI-assisted development**, moving beyond theoretical concepts to actively employ agents in the conceptualization, design, and implementation phases of your projects.
- Master the foundational elements of modern Java development, building responsive and dynamic user interfaces with the power of Spring Boot and Thymeleaf, all while guided by intelligent AI suggestions.
- Demystify the process of taking your Java creations from local development to public accessibility, learning best practices for deployment and ensuring your applications reach a wider audience.
- Discover how to leverage AI agents not just for writing code, but for actively contributing to problem-solving, architectural design, and the exploration of novel solutions, fostering a more innovative development process.
- Develop a keen intuition for identifying and implementing AI-driven optimizations across your codebase, leading to more efficient, maintainable, and high-performing applications.
- Understand the evolving landscape of software engineering, positioning yourself at the forefront of AI integration for a competitive edge in the job market.
- Cultivate a proactive approach to learning and adaptation, preparing yourself for the continuous evolution of AI tools and their impact on the software development lifecycle.
- Learn to **prompt engineer effectively** for coding tasks, ensuring your AI assistants understand your intentions and deliver precise, relevant code snippets.
- PROS:
- Significantly accelerates the development cycle for full-stack Java applications.
- Empowers developers to tackle complex tasks with greater confidence and efficiency.
- Provides a hands-on introduction to the future of AI-powered software creation.
- CONS:
- Requires a foundational understanding of Java and web development concepts for maximum benefit.
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