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đŸ› ī¸ Engineering

"Great engineers are not defined by what they know, but by what they can build."

This section covers the practical engineering skills needed to build, deploy, and maintain production applications. From backend architecture to frontend experiences, from containers to CI/CD pipelines.


📚 Topics Covered​

Backend (Java Ecosystem)​

Building robust, scalable server-side applications.

  • Spring Boot core concepts & annotations
  • Concurrency with JUC (java.util.concurrent)
  • JVM internals & garbage collection tuning
  • API design & microservices patterns

Frontend (Modern Web)​

Creating responsive, interactive user experiences.

  • React fundamentals & hooks
  • Next.js for full-stack applications
  • Tailwind CSS & modern styling
  • State management patterns

DevOps & Cloud​

Deploying and operating applications at scale.

  • Docker containerization
  • Kubernetes orchestration
  • AWS / Google Cloud services
  • CI/CD with GitHub Actions

Developer Tools​

Maximizing productivity with the right tooling.

  • Git advanced workflows
  • IDE mastery (IntelliJ IDEA)
  • Terminal & shell configuration
  • Debugging & profiling

đŸ—ī¸ Full Stack Architecture​


đŸŽ¯ Technology Stack​

LayerPrimary Technologies
FrontendReact, Next.js, TypeScript, Tailwind CSS
BackendJava 21, Spring Boot 3, PostgreSQL, Redis
DevOpsDocker, Kubernetes, GitHub Actions, AWS
ToolsGit, IntelliJ IDEA, VS Code, Zsh

📖 Quick Reference​

Common Spring Annotations​

@RestController      // REST API controller
@Service // Business logic
@Repository // Data access
@Transactional // Transaction management
@Async // Async execution
@Scheduled // Scheduled tasks
@Cacheable // Method caching

Essential Docker Commands​

docker build -t app:latest .
docker run -d -p 8080:8080 app:latest
docker compose up -d
docker logs -f container_name
docker exec -it container_name /bin/sh

Git Workflow Commands​

git rebase -i HEAD~3      # Interactive rebase
git cherry-pick <sha> # Pick specific commit
git stash push -m "msg" # Stash with message
git bisect start # Binary search for bug

đŸŽ¯ Learning Path​


Engineering Principles
  1. Write code for humans - Clarity over cleverness
  2. Fail fast - Catch errors early in development
  3. Automate everything - If you do it twice, script it
  4. Measure before optimizing - Profile, don't guess
  5. Keep learning - The landscape changes constantly