BitDive.io

Bitdive provides Regression Safety for Java applications without the hassle of writing mock scripts. Instead of coding tests manually, you simply select real request flows to build versionable Replay Plans. Capture once, then reuse scenarios to build unit replays, integration suites, and contract checks from the same high-fidelity data. How It Works: Bitdive acts as a flight recorder for your JVM. It isolates dependencies by auto-generating context-aware mocks for JDBC, HTTP, Kafka, and gRPC directly from observed behavior. This ensures your tests remain deterministic and stable across refactors, library upgrades, and API changes, without needing to spin up complex Docker environments for every run. Key Features: -Full Downstream Isolation: Automatically mocks interactions with Databases (JDBC), REST APIs, Kafka, and gRPC services based on captured context. -White-Box Visibility: When a replay fails, see the full picture instantly. Drill down into cross-service call chains, method parameters, return values, exceptions, and SQL queries. Find the root cause without "log archaeology." -Native Execution: Replays run as standard JUnit tests via mvn test. Integrate them easily into your CI/CD pipeline, staging environment, or local dev loop. -Zero-Friction Setup: Just add the agent/library, paste a UI-generated config, and start capturing scenarios in minutes. Why Engineers Choose Bitdive (Benefits): -Eliminate Behavioral Drift: Catch silent regressions that unit tests with synthetic data miss. Test with the complexity of real production data. -Zero Maintenance Mocks: Forget about updating mock scripts every time a database schema or API signature changes. Bitdive updates the context automatically when you record new flows. -Accelerate Debugging: Turn any failed production request into a local, replayable test case instantly. Fix bugs by replaying the exact scenario that caused them. -Shift Left with Confidence: Validate changes locally with production-grade fidelity before code ever hits the shared environment.