Test-driven development is introduced as a practical approach to ensure code quality by building a pet adoption application with a REST API, Kafka, and a Postgres database.
A new Quarkus application is created using IntelliJ, selecting necessary extensions like REST with Jackson, Hibernate ORM, and the Postgres driver.
Quarkus Dev Mode provides live reloading and Dev Services automatically starts a Postgres container without manual configuration, streamlining the development workflow.
The IntelliJ AI assistant generates a complete JPA entity class for a pet from a detailed text prompt, accelerating the initial data model creation.
Persistence layer tests are created using the `@QuarkusTest` and `@TestTransaction` annotations, which manage the application context and ensure database changes are rolled back after each test.
The repository layer is implemented using Quarkus Panache, which simplifies database queries and allows the previously written failing test to pass.
The REST API layer is tested by mocking the repository dependency with `@InjectMock` and using the Rest Assured library to verify HTTP responses and status codes.
An AI assistant generates the full Jakarta REST resource class based on the test suite, demonstrating how to implement code that satisfies a predefined set of tests.
Endpoints are switched to run on virtual threads using a simple annotation, and the Quarkus Dev UI is showcased as a tool for inspecting the database and other extensions live.
The session concludes by highlighting how quickly a fully tested application was built and points to the Quarkus superheroes demo for further learning.
28:21Daniel Oh
44:40Alex Soto
56:49Jens Happe
30:15Eric Deandrea
30:55Alex Banul
37:55Adam Bien
47:22Christian Kühn
26:33Annelore Egger
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