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🛠️ 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

🏗️ Full Stack Architecture


🎯 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

🎯 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