Turn Runtime Behavior into Deterministic JUnit Tests
Stop writing mocks by hand. Capture deep method-level flows and data states into executable mvn test scenarios. Reflect reality, not assumptions.
Java
Spring Boot
Kafka
PostgreSQL
MongoDB
JUnit 5
Testcontainers
Maven
Scale Your Test Coverage, Not Your Codebase
Stop writing test code to test code.
Build a regression shield that runs anywhere. BitDive isolates services virtually, allowing you to verify logic without spinning up complex staging infrastructure.
- Dependency Virtualization: Test services in total isolation. BitDive virtually replaces downstream calls (DBs, Kafka, APIs), allowing you to verify logic even if the rest of the mesh is offline.
- Infrastructure-Free Execution: Run integration-level scenarios on a laptop or ephemeral CI agent. No need to spin up heavy staging clusters just to verify a single microservice.
- Eliminate Flakiness & Tech Debt: No fragile scripts or manual mocks. By testing against captured deterministic behavior, you eliminate the "test-only bugs" that plague traditional automation.
Log-Less Debugging and Root Cause Analysis
Production bugs run locally with full context
A developer takes a callId from production or a test environment and replays it locally in debug mode with the same inputs and the same execution chain, down to each method call. The exact scenario that happened, made reproducible.
- White Box, No Log Guessing: The failure shows up immediately in the call tree, down to the exact method, exception, and SQL query. No log archaeology required.
- Shared Reality: QA and Dev see the same execution facts, including parameters, downstream responses, and the full chain across services.
- Fastest Repro: Turn "not reproducible" into an executable failure path. Fix it, then replay the same callId to validate.
- Painless Setup in 15 Minutes: Add the BitDive libraries, paste a short UI generated config, and you are live. Auto instrumentation by default. No code changes, no annotations.
Real-Time Service Map
Visualize microservices architecture and dependencies
Performance Regression Testing for Microservices
Find bottlenecks, fix them, verify speed and correctness
BitDive surfaces performance issues directly in the UI, combining distributed traces across services with method level chains and SQL patterns. The same context is available to AI via MCP, so fixes are guided by real executions.
- Distributed tracing, end to end: Follow a request across microservices, then drill down to the exact method chain and SQL burst.
- Detect N+1 and hotspots: Heatmaps and traces expose query explosions, slow paths, and the exact endpoint that triggers them.
- Pinpoint root cause in code: See the exact method chain and SQL pattern causing the degradation, not static analysis guesses.
- Validate fix: Compare before and after traces on the same scenario. Clear deltas in latency and query count.
Runtime Context for AI Agents & RAG
Ground GenAI code with deterministic execution data
Static analysis isn't enough. Feed your agents (Cursor, Copilot, Windsurf) with real variable states and SQL queries via MCP. Let AI analyze actual runtime values to generate working code.
- Runtime Context via MCP: Give AI agents on-demand access to live call stacks, SQL queries, and variable states. No more guessing what happened in production.
- Surgical AI Fixes: AI sees the exact failure path and exception data. It generates precise fixes based on the crash evidence, not just the stack trace text.
- Auto-Verify AI Code: Ensure AI-generated code actually works. BitDive instantly replays the captured scenario against the AI's fix to prove correctness before you commit.
Modernize Your Automated Regression Testing
Move from fragile manual scripting to continuous runtime verification
FOR BUSINESS
FOR ENGINEERING
Stop Coding Tests.
Start Verifying Logic.
Replace fragile manual scripts with deterministic tests captured from runtime. Modernize your regression workflow today.
