🛠️ 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
| Layer | Primary Technologies |
|---|---|
| Frontend | React, Next.js, TypeScript, Tailwind CSS |
| Backend | Java 21, Spring Boot 3, PostgreSQL, Redis |
| DevOps | Docker, Kubernetes, GitHub Actions, AWS |
| Tools | Git, 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
- Write code for humans - Clarity over cleverness
- Fail fast - Catch errors early in development
- Automate everything - If you do it twice, script it
- Measure before optimizing - Profile, don't guess
- Keep learning - The landscape changes constantly