ChatGPT is an AI model built on GPT-3 that gained one million users in just five days, demonstrating its massive potential and capabilities.
A live demonstration shows how to prompt ChatGPT to create a Spring Boot controller, refactor it with Java streams, and extract logic into a separate service.
ChatGPT can generate unit tests using Mockito and integration tests with WireMock or Spring Cloud Contract based on previously created code.
The tool can outline a full project directory structure, generate UML class and sequence diagrams using Mermaid syntax, and create deployment files like Helm charts.
By instructing ChatGPT to act as a Linux terminal, you can simulate starting a Spring Boot application and interacting with it via cURL commands.
ChatGPT can explain technical concepts like Java 17 features and design patterns with code examples, and can even adopt an entertaining persona for engagement.
The AI can act as an interviewer by asking theoretical and coding questions for Java and Spring, then providing feedback on your answers.
Key limitations include handling large projects, frequent bugs, monetization plans, privacy concerns, and a lack of up-to-date knowledge.
Use AI for boilerplate code and learning, but avoid blindly copy-pasting solutions or exposing confidential information to maintain code quality and security.
The Q&A session covers ethical misbehavior, security concerns when using AI-generated code, and potential future business models for the tool.
37:55Adam Bien
45:39Amanda Martin
57:09Christian Woerz
41:37Dan Lebrero
45:30Michael Inden
41:17Syed M Shaaf
57:45Jonathan Vila
58:23Johannes Bechberger
Jobs that call for the skills explored in this talk.
wunschlösung GmbH
Jena, Germany
wunschlösung GmbH
Jena, Germany
