How We Helped a Final-Year Student Fix and Deploy His Java Spring Boot Project

Project Background

John was a final-year Computer Science student working on his capstone project. His responsibility in the group was building the backend using Java, Spring Boot, PostgreSQL, REST APIs, and deployment on Heroku.

Since backend architecture requires strong fundamentals, he was trying to apply concepts he had previously learned in his coursework and practical Java backend development guidance.

He reached out to us two weeks before submission. The project was partially working locally, but deployment and API stability were major problems.

He wasn’t looking for someone to “finish it for him.” He wanted to understand why things were breaking.

Case Study our client John about his success on his Final Year Project

The Real Problems in His Project

When we reviewed his GitHub repository together, we identified multiple technical issues.

1. REST API Returning HTTP 500 Errors

Some endpoints were throwing internal server errors.

We discovered:

  • Incorrect @RequestMapping paths

  • Missing @ResponseBody annotations

  • Null pointer exceptions in service layer

These were small mistakes, but they were cascading into major failures.

2. PostgreSQL Connection Failures on Deployment

The application worked locally but failed on Heroku.

The root causes:

  • Incorrect JDBC URL format

  • Hardcoded credentials

  • Missing environment variable configuration

This is a common deployment mistake when moving from local development to cloud hosting.

3. CORS and JSON Binding Issues

His frontend team couldn’t consume the APIs properly.

Problems included:

  • CORS not configured globally

  • Improper @CrossOrigin usage

  • Mismatched JSON field names

  • Incorrect DTO mapping

This caused failed API calls even though backend logic was correct.

4. Authentication Logic Not Validating Users

John had partially implemented login functionality using Spring Security.

But:

  • Passwords were stored as plain text

  • BCrypt encoding was missing

  • Authentication manager was misconfigured

The system was authenticating inconsistently.

Solution: How We Approached the Fix (Step-by-Step)

We didn’t rewrite the project.

We debugged it with him.

He shared his screen. We reviewed logs together. Every fix was explained.

Step 1 – Full Code Audit

We reviewed:

  • Controller layer

  • Service logic

  • Entity relationships

  • application.properties

  • Build configuration

We documented every issue before touching the code.

This avoided random patchwork fixes.

Step 2 – Refactoring the REST Layer

We corrected controller annotations:

  • Used @RestController properly

  • Cleaned up request mappings

  • Standardized response structure

We also added proper exception handling using @ControllerAdvice.

This immediately reduced HTTP 500 errors.

Before

John’s controller had incorrect mapping structure:

Issues:

  • Used @Controller instead of @RestController

  • Missing proper HTTP method mapping

  • No structured response handling

This caused serialization and 500 errors. During one session, we spent almost 40 minutes just tracing a single stack trace line by line. That process helped him understand how Spring Boot logs actually reveal root causes instead of just showing errors.

 
				
					@Controller
@RequestMapping("/api")
public class UserController {

    @RequestMapping("/users")
    public List<User> getUsers() {
        return userService.getAllUsers();
    }
}
				
			

After 

Fixes:

  • Replaced @Controller with @RestController

  • Used @GetMapping

  • Wrapped response using ResponseEntity

  • Cleaner endpoint structure

This immediately stabilized the API behavior.

				
					@RestController
@RequestMapping("/api/users")
public class UserController {

    @GetMapping
    public ResponseEntity<List<User>> getUsers() {
        return ResponseEntity.ok(userService.getAllUsers());
    }
}

				
			

Step 3 – Fixing Database Configuration

We:

  • Replaced hardcoded credentials with environment variables

  • Corrected JDBC configuration

  • Verified Hibernate dialect settings

  • Fixed entity relationships using @OneToMany and @ManyToOne

Once fixed, PostgreSQL connected successfully on Heroku. 

Step 4 – Securing Authentication

We implemented:

  • BCryptPasswordEncoder

  • Proper password hashing

  • Spring Security configuration cleanup

  • Role-based access structure

He finally understood how authentication actually works internally.

Step 5 – Deployment and Testing

Before redeploying, we:

  • Tested all APIs in Postman

  • Verified CORS behavior

  • Ran integration tests

Then we configured:

  • Heroku PostgreSQL add-on

  • Environment variables

  • Buildpacks

The application deployed successfully. The backend APIs were tested across 15+ endpoints, and all returned consistent responses without runtime exceptions.

 

A Real Debugging Moment

During deployment, the app built successfully but crashed immediately after launch.

The issue?

Heroku was assigning a dynamic port, but his application was still trying to bind to a fixed local port.

We updated the configuration to use the PORT environment variable.

That small change fixed the crash.

These are the kinds of things students rarely learn in classroom projects.

Final Outcome

By the end of the sessions:

  • APIs were stable

  • Database was connected properly

  • Authentication worked securely

  • Deployment succeeded

  • Integration testing passed

He submitted the project before the deadline.

More importantly, he understood the backend architecture fully.

What John Learned

By the end of this project, he could:

  • Debug Spring Boot logs confidently

  • Configure PostgreSQL properly

  • Handle CORS correctly

  • Secure authentication with encryption

  • Deploy backend applications independently

That confidence mattered more than just submission.

Technical Summary

  • Tech Stack: Java, Spring Boot, PostgreSQL

  • Features: REST APIs, Authentication, Deployment

  • Deployment Platform: Heroku

  • Major Fixes: API mapping, DB config, CORS, Authentication

  • Security Upgrade: BCrypt password encryption

  • Final Status: Successfully deployed & tested

Testimonial :

“I was completely stuck with backend errors and deployment failures. The live debugging sessions helped me understand what was actually going wrong. I didn’t just submit the project — I finally understood how backend systems work.” – John (USA)

Frequently Asked Questions

1. Why do Spring Boot APIs return HTTP 500 errors?

HTTP 500 errors usually occur due to unhandled exceptions in the backend. Common causes include null pointer exceptions, incorrect request mappings, database query failures, or improper JSON serialization. Reviewing logs and adding proper exception handling using @ControllerAdvice can help resolve these issues.

2. Why does a Spring Boot application work locally but fail on Heroku?

This often happens because local configurations differ from cloud environments. Common problems include:

  • Hardcoded database credentials

  • Incorrect JDBC URL format

  • Missing environment variables

  • Fixed port configuration instead of using ${PORT}

Cloud platforms assign dynamic ports and require proper environment configuration.

3. What causes CORS errors in Java Spring Boot projects?

CORS (Cross-Origin Resource Sharing) errors occur when a frontend application tries to access a backend API from a different origin. In Spring Boot, this can be fixed by:

  • Using @CrossOrigin correctly

  • Configuring a global CORS filter

  • Allowing specific origins and HTTP methods

Improper CORS setup prevents the frontend from consuming APIs.

4. Why is BCrypt important in Spring Security authentication?

BCrypt is used to securely hash passwords before storing them in the database. Storing passwords in plain text is unsafe. BCrypt adds salt and hashing, making it extremely difficult to reverse-engineer passwords. This is a standard security practice in production-grade applications.

5. What are common mistakes students make in final-year Java backend projects?

Some frequent mistakes include:

  • Hardcoding credentials

  • Ignoring exception handling

  • Not separating controller, service, and repository layers properly

  • Poor database schema design

  • Skipping integration testing before deployment

Addressing these issues improves stability and scalability.

6. What is the best way to debug Spring Boot backend issues?

A structured debugging approach includes:

  • Reading stack traces carefully

  • Checking application logs

  • Verifying configuration files

  • Testing APIs using Postman

  • Ensuring environment variables are correctly set

Understanding logs is often more important than guessing fixes.