✅ W1D3-Coding Spring Boot Application - tomcat - Github Copilot - Devtools - lombok - Slf4j logback [10Jun]
Join Central whatsapp channel
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📌 Recording:
https://youtube.com/live/35cXnADAUPM?...
📌 Session notes
https://docs.google.com/document/d/19...
📌 Attendance Code: 3333
https://docs.google.com/forms/d/e/1FA...
📌Other links:
https://start.spring.io/
http://localhost:8080/math/add?a=3&b=500
https://github.com/features/copilot/p...
https://github.com/education/students
📌Key Points: AI-Assisted Spring Boot Development - Career Success Rules
✅ Spring Boot development was accelerated using GitHub Copilot and AI agents to generate controllers, services, and REST APIs. AI was also used to refine business logic (e.g., division by zero handling) through iterative prompts.
✅ Spring Boot DevTools was integrated to enable automatic application restarts after code changes, improving the local development workflow without manual server restarts.
✅ Project Lombok was introduced to eliminate boilerplate code using annotations such as @RequiredArgsConstructor, reducing manual getters, setters, constructors, and dependency injection code.
✅ Production-ready logging replaced System.out.println with SLF4J + Logback using Lombok's @Slf4j. The session covered structured logging, log levels (INFO, DEBUG, WARN, ERROR, TRACE), and parameterized logging for better debugging and traceability.
✅ Spring Boot runtime fundamentals included resolving Java version mismatches (Java 17), understanding embedded Tomcat, verifying applications on port 8080, and following a standard testing workflow before validating APIs.