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Make AI-Driven Changes Safe with Deterministic Verification

Capture real Java runtime traces. Turn them into deterministic JUnit tests. Let AI agents compare before vs. after execution to self-verify every code change.

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Verified for the Modern JVM Stack
Java - Verified JVM technology for BitDive runtime testingJava
Kotlin - Verified JVM technology for BitDive runtime testingKotlin
Spring Boot - Verified JVM technology for BitDive runtime testingSpring Boot
Kafka - Verified JVM technology for BitDive runtime testingKafka
PostgreSQL - Verified JVM technology for BitDive runtime testingPostgreSQL
MongoDB - Verified JVM technology for BitDive runtime testingMongoDB
JUnit 5 - Verified JVM technology for BitDive runtime testingJUnit 5
Testcontainers - Verified JVM technology for BitDive runtime testingTestcontainers
Maven - Verified JVM technology for BitDive runtime testingMaven
Auto-MockingExternal systems are auto-isolated
JUnit 5Tests run anywhere Java runs
Deep ContextCaptures arguments and data state
RUNTIME OBSERVABILITY

Method-Level Visibility Across Your Entire Stack

See every method call, SQL query, and service interaction with exact parameters and return values.

Explore Observability Stack
BitDive Automated Testing Architecture - Virtualizing JVM dependencies for deterministic logic verification
AUTOMATED TESTING

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).
  • Infrastructure-Free Execution: Run integration-level scenarios on a laptop or ephemeral CI agent.
  • Eliminate Flakiness & Tech Debt: No fragile scripts or manual mocks. Test against captured deterministic behavior.
Eliminate Manual Mocks
THE WORKFLOW

From Runtime Capture to Verified Code Change

Three stages that close the loop between real production behavior and every code change.

01

Capture: Real Runtime Traces

No code changes needed. Works with any Java/Kotlin service.

BitDive runs alongside your service, capturing complete execution context: every method call, every SQL query, every API response. No code changes needed.

  • Method calls with exact parameters and return values
  • SQL queries with actual parameters and result sets
  • HTTP requests, Kafka messages, and cross-service traces
Result: A complete record of how your system actually behaves.
02

Create: JUnit Tests from Traces

One click. Deterministic, isolated, runnable.

Select any captured trace and create a standard JUnit test. BitDive auto-mocks databases, APIs, and message queues. No Mockito scripts to maintain.

  • Mocks built automatically from real captured responses
  • Runs locally or in CI with zero external dependencies
  • Standard JUnit 5. Works with mvn test, IntelliJ, any CI.
Result: Deterministic tests from real behavior. Not AI guesses. Works on the first run.
03

Verify: Before vs. After Trace Comparison

The agent proves its own code change is correct

After modifying code, capture a new trace and compare it to the original. See exactly what changed and confirm nothing broke unintentionally.

  • Side-by-side comparison of SQL patterns and results
  • Method-by-method diff of inputs and outputs
  • Unchanged methods confirmed identical (semantic match)
Result: Trace diffs as proof that the change did exactly what was intended.
BitDive Autonomous Quality Loop - AI agents self-verifying code changes by comparing Java execution traces
CAPABILITY

The Autonomous Quality Loop

AI agents that investigate, fix, and prove correctness automatically

Connect Cursor, Claude, or Windsurf to BitDive via MCP. Your agent sees real runtime data before writing code, then verifies its own changes by comparing execution traces.

  • Runtime Context First: Before writing a fix, the agent fetches the actual execution trace: real payloads, SQL queries, call hierarchy. It understands how data really flows, not how it imagines it from source code.
  • Dual-Trace Verification: After the fix, the agent captures a new trace and compares it to the original. Unchanged methods stay identical. Changed methods show exactly what shifted. The diff is the proof
  • Full Regression Close-Out: The agent runs mvn test to confirm nothing else broke. If tests fail, it fetches the failing traces from BitDive, understands the regression, and either fixes or rolls back
See AI Integration
VALUE PROPOSITION

Why Teams Switch to BitDive

From fragile mock scripts to tests grounded in real execution data

FOR BUSINESS
SAFE REFACTORING

Refactor legacy Java systems fearlessly. Your regression safety net is built from real runtime traces.

DAY 1 VALUE

Start creating test suites immediately. 2-minute setup, no months-long integration projects.

AI-READY

Give AI agents real runtime context so they stop guessing and start verifying their own code changes

FOR ENGINEERING
NO MOCKS

Dependencies auto-mocked from captured data. Stop writing and maintaining Mockito scripts

5 MINUTES

Time to convert user flows into hundreds of runnable JUnit tests

FULL VISIBILITY

See exact method inputs, SQL queries, and return values. No more black-box debugging

Stop Coding Mocks. Start Capturing Logic.

Eliminate fragile test scripts. Turn production behavior into deterministic JUnit tests today.

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