Choose a problem small enough to finish
A capstone should demonstrate how you reason about an application, not how many features you can list. Choose a concrete workflow such as appointment booking, inventory tracking or a project-submission portal. Define the user, the key action and the data the application must retain. Write a short scope and identify what will not be included in the first version.
Sketch the main screens, API operations and data relationships before coding. A simple plan can reveal missing states early—for example, what happens when a record is not found, a form is invalid or a user lacks permission.
Build in vertical slices
Instead of finishing every database table before starting the interface, complete a thin slice of behavior: a user submits a form, the Spring Boot API validates it, MySQL stores it and React displays the result. Then expand the workflow. This exposes integration issues early and keeps the project demonstrable as it grows.
Separate responsibilities in the backend and keep React components focused. Use DTOs for the API contract and test the server-side business rules. Never trust the client to enforce data integrity or permissions.
Create a risk-based test plan
Unit tests cover focused Java rules, such as a valid status transition. API tests verify routes, validation and response codes. Integration tests exercise important database-backed workflows. Prioritize behavior that could lose data, expose another user’s information or produce a misleading result.
Include invalid input, empty data and unauthorized requests in the plan, not only successful cases. When you fix a defect, add a regression test. Keep tests readable so another developer can understand what behavior they protect.
Prepare configuration and deployment carefully
Document the Java version, build steps, database setup and environment variables required to run the project. Provide placeholder names and example values only—never commit real passwords, signing keys or personal data. Use schema migrations where appropriate so the database can be set up consistently.
Deployment is environment-specific. Verify the target platform’s runtime, build artifact, database connectivity, configuration and logs. Describe accurately whether your project is a local demo, a test deployment or a production service. Do not claim production readiness without security and operational review.
Make the portfolio easy to evaluate
A concise README should explain the problem, features, architecture, setup, test commands and known limitations. Add screenshots or a short walkthrough when useful, and ensure they contain no private data. Be ready to explain why you chose a data relationship, how an API error is handled and what you would improve next.
Use AI tools, if allowed, as assistants for brainstorming or test ideas—not as a substitute for understanding. Verify suggestions, follow project disclosure requirements and ensure you can maintain the code. Your strongest portfolio evidence is a working, tested project whose design decisions you can explain.