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.
Deterministic Safety for AI Agents & RAG
Ground AI intent with deterministic execution reality
Static analysis isn't enough. Close the loop with your agents (Cursor, Claude, Windsurf) by providing real variable states and SQL queries via MCP. Let AI verify its own code against recorded Ground Truth.
- Ground Truth via MCP: Give AI agents on-demand access to live call stacks, SQL queries, and variable states. No more hallucinations about what happened in production.
- Deterministic AI Verification: AI sees the exact failure path. It generates precise fixes and auto-verifies them by replaying the captured scenario against its own code.
- Stop Hallucinations: Ensure AI-generated code actually works. BitDive instantly replays the captured scenario against the AI's fix to prove correctness before you commit.
Trusted by Engineering Leaders
See how BitDive is transforming the software development lifecycle for teams worldwide.
Modernize Your Automated Regression Testing
Move from fragile manual scripting to continuous runtime verification
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Verification Strategy Pillars
Dive deep into the core components of Evidence-Based Engineering.
Deterministic Verification
Learn how to eliminate fragile mocks by replaying real JVM state anywhere. The standard for high-stakes Java systems.
Read Guide →AI Verification Protocol
Bridge the Hallucination Gap. Provide your AI agents with the Ground Truth they need to verify their own code changes.
Explore AI Context →Execution Forensics
Trace failures down to the method level without logs. See exactly what happened inside the JVM in 15 minutes.
See Forensics →Verification FAQ
Common questions about JVM Ground Truth and BitDive.
What is Evidence-Based Engineering?
Evidence-Based Engineering is a methodology where code changes are verified against real-world execution traces (Ground Truth) rather than manual test cases or assumptions. BitDive automates this by capturing production behavior and replaying it as isolated JUnit tests.
How does BitDive close the AI Hallucination Gap?
BitDive closes the gap by providing AI agents with "JVM Ground Truth"—real runtime context including method arguments, SQL queries, and service dependencies. This allows agents to verify their own code against recorded reality before it ships.
Is BitDive different from traditional mocking frameworks like Mockito?
Yes. While Mockito requires manual script writing, BitDive captures actual data states and dependency calls from the running JVM. It auto-generates the verification layer, eliminating the need to maintain fragile mock scripts manually.
Stop Coding Tests.
Start Verifying Logic.
Replace fragile manual scripts with deterministic tests captured from runtime. Modernize your regression workflow today.
