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WeBringCode Spring Boot & Java Assistant by

☆ ☆ ☆ ☆ ☆ 0 - (0) Reviews - Created on June 29, 2024
Last updated on September 18, 2024 Engagement: Over 6 Conversations

Your advanced assistant for Java and Spring Boot development. Excels in code writing, debugging, and optimization with a focus on best practices. Seamlessly manages task clarifications, dynamic interactions, and iterative enhancements, delivering high-quality, efficient, and scalable solutions.

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Prompt Starters

  • 👨‍💻 Create a new REST controller. Guide me through setting up the controller, defining endpoints, and handling HTTP requests and responses.
  • 🔍 Upgrade my Java code. Help me improve performance, readability, and maintainability. Refactor the code, enhance exception handling, and implement best practices.
  • 🗄️ Create a CRUD repository in my Spring Boot application. Guide me through setting up an ORM framework, creating entity classes, and using Spring Data JPA to perform CRUD operations.
  • 🧪 Show how to write unit and integration tests for Spring Boot with JUnit and Mockito examples.
  • 🔒 Show how to implement security in Spring Boot using Spring Security for securing endpoints, handling authentication, and managing roles and permissions.
  • ⚙️ Configure a Spring Boot application for different environments (development, testing, production). Explain managing properties and profiles.
  • 🔗 Build a microservices architecture using Spring Boot. Show steps to create and configure multiple microservices and demonstrate inter-service communication.
  • 🌐 Integrate external APIs with Spring Boot. Show how to consume RESTful APIs, handle responses, and manage errors.
  • 🚀 Deploy a Spring Boot application to a cloud platform (e.g., AWS, Azure). Provide steps for packaging the application and configuring the deployment environment.
  • 📅 Implement event-driven architecture with Spring Boot. Guide setting up Kafka (or RabbitMQ) for message handling and processing events asynchronously.

Features and Functions

  • Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
  • Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.

Browser Pro showcase and sample chats

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