TL;DR: Bumping the Spring Boot version in pom.xml takes 10 seconds. Finding out that the upgrade silently changed your JSON serialization, broke your security filters, or altered your error responses takes days. This post covers seven categories of silent breaking changes that Spring Boot upgrades introduce, and a practical workflow to catch them before production.
TL;DR: Your integration test hits the happy path: 200 OK, correct response body, all good. But what happens when the downstream returns a 404? A 500? A 503 with retry-after? If your service parses the error response body, and the body format changes silently, you will find out at 3 AM when the retry storm starts. Error contracts are just as important as success contracts, and almost nobody tests them.
TL;DR: The most dangerous bugs in microservices are not inside a service. They are between services. A code change can make a service pass all its local tests while silently altering what it sends to downstream APIs: different payload, missing header, changed error format. These regressions are invisible to unit tests, hard to catch with contract tests, and expensive in production. BitDive detects them by capturing real HTTP exchanges in execution traces and comparing them before and after a code change.
We’re excited to introduce a major upgrade to the BitDive ecosystem: native Postman support.
You can now create a Postman Collection from your BitDive-generated JUnit replay tests with a single click. Postman export is an additional execution format alongside the BitDive runner, derived from the same Real Runtime Data replay artifacts, so you can rerun and share endpoint requests without changing your regression suite.
BitDive automatically creates unit and integration tests from recorded behavior, and it can now also export the tested application’s endpoint requests as Postman collections. This lets you invoke endpoints quickly, capture new executions back into BitDive, validate Consumer-Driven Contracts against real scenarios, and compare “before” vs “after” behavior with diffs after a fix.