You get a PRD, not videos. You push code to GitHub, not assignments. AI reviews your PR like a real Senior Engineer.
KodingCamp is an engineering simulator. You learn the exact same way as engineers at real tech companies.
You read a Product Requirements Document like a real engineer instead of watching videos. Your job: implement the feature to spec.
An AI bot rejects your PR if the code doesn't meet enterprise standards — exactly like code review at a real tech company.
Learn the stack used by startups and enterprises: Next.js, Spring Boot, Drizzle ORM, PostgreSQL, Docker, and GitHub Actions.
Every git push triggers an automated pipeline: build, test, lint, then AI review — just like at a tier-1 tech company.
Fork, branch, push, pull request, review, merge. All done on GitHub like a professional engineering team.
Four phases that replicate the engineering workflow at a modern tech company.
You open the GitHub Project Board and pick a ticket (issue) from the sprint backlog. Each ticket contains a PRD you must implement — no videos, no lectures.
// github-project-board.md ## Sprint 1 — Auth & User Management [TODO] #12 - Implement JWT Authentication [TODO] #13 - User Registration Endpoint [TODO] #14 - Password Hashing (bcrypt) // Pilih tiket → assign dirimu → move to In Progress
Open your IDE, create a new branch, and implement the feature to spec. The stack is exactly the one used at startups and enterprises.
$ git checkout -b feature/jwt-authentication
// UserService.java
@Service
public class UserService {
@Autowired
private PasswordEncoder passwordEncoder;
public User register(RegisterDto dto) {
// implementasi kamu di sini
}
}Done coding? Push to GitHub and open a Pull Request. The moment your PR is created, GitHub Actions fires and runs the pipeline automatically.
$ git add . $ git commit -m "feat: implement JWT authentication" $ git push origin feature/jwt-authentication ✓ Build completed in 2m 14s ✓ Tests passed (24/24) ✓ Lint check passed ⟳ AI Code Review running...
The AI bot pulls your PR's git diff and evaluates the code against enterprise standards: N+1 queries, missing validation, microservice structure, clean code. Pass → PR merged. Fail → you fix it.
🤖 KodingCamp AI Reviewer · PR #17 Line 87: ⚠ N+1 query detected → Use @EntityGraph or JOIN FETCH Line 23: ✗ Missing input validation → Add @Valid + @NotBlank annotations Line 45: ✓ Good use of dependency injection Status: REQUEST_CHANGES Perbaiki dan push ulang untuk re-review.
This isn't manual grading. The AI bot detects code issues automatically and gives line-by-line feedback, just like a senior engineer.
feat: implement user list endpoint
These aren't testimonials. They're real pull requests opened by participants, reviewed by AI, and successfully merged into main.
Solid implementation! @EntityGraph is used correctly, no N+1 queries. The refresh token logic is clean too. Merged!
Cursor-based pagination is far more scalable than offset. Good call! Test coverage 91%. Approved.
Very clean domain separation. Event-driven architecture is spot-on for inter-service communication. Merged!
@Transactional(isolation = SERIALIZABLE) is the right choice. Deadlock avoided with a consistent lock ordering.
STOMP over WebSocket with SockJS fallback — production-ready. Connection pooling is correct. Approved!
Cache invalidation strategy is correct! A 5-minute TTL fits the catalog. Response time dropped from 450ms → 12ms.
The presigned URL approach is safer than proxy upload. Client-side upload straight to S3 is done right.
94% coverage! Happy path, edge cases, and error scenarios all covered. TestContainers usage is very clean.
Pay once. Get access to a private GitHub Org, a full PRD, a CI/CD pipeline, and an AI code reviewer ready to reject your PR anytime.