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This session is designed for juniors, new graduates, and non-tech attendees who want to understand how AI can help in building microservices. You’ll learn the best practices for building microservices from scratch, including writing acceptance criteria and creating REST APIs. We’ll also demonstrate how AI tools like ChatGPT can help you write better code, catch errors early, and automate common tasks, making development easier and faster.
By the end of this session, you’ll have a solid understanding of how to design and build microservices, all while using AI tools to optimize your workflow.

🧪 What You’ll Learn:

  • Microservice Architecture Best Practices: Learn core principles like decoupling services and scalability.
  • Writing Acceptance Criteria: How to define clear requirements that ensure your microservice works as expected.
  • Creating REST APIs: Learn how to design secure, scalable APIs for communication between microservices.
  • AI in Microservice Development: How AI tools like ChatGPT can assist with code writing, error-checking, and test generation.

💡 Why It Matters:

  • Scalable Services: Microservices break down large systems into smaller, manageable parts that are easier to maintain and scale.
  • AI Assistance: Tools like ChatGPT help you automate parts of the development process, speeding up coding and reducing errors.
  • Real-World Applications: These practices are in high demand, and mastering them will equip you with valuable skills for modern software development.

👨‍💻 Who Should Attend:

  • Juniors and new graduates looking to learn microservices and AI in development.
  • Non-tech people interested in how AI can assist in coding and building software.
  • Anyone looking to understand modern development practices and how AI can improve workflows.

🕓 Schedule

  • 18:30 - Networking
  • 18:40 - Program starts
  • 19:20 - Q&A - networking
  • 19:30 - End
AI and Society
nodeJS
Computer Programming
Software Development
Web Technology

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