BitDive.io

About BitDive.io

Forget everything you know about testing. BitDive.io is the AI-native runtime QA and verification platform that flips the script on how developers build and verify Java, Kotlin, and Spring Boot microservices. It’s not about writing more test code; it’s about capturing reality and turning it into your regression shield. Think of it as a DVR for your JVM. BitDive automatically records real executions in all their messy, glorious detail—full call chains, method inputs/outputs, exceptions, and every interaction with databases, APIs, and message queues. Then, it bakes that runtime data into deterministic, self-contained JUnit 5 tests that replay perfectly, anywhere. This magic trick means your AI agents can finally self-validate their own code changes by comparing "before" and "after" behavior down to the millisecond and SQL query. Built for modern dev teams drowning in mock maintenance and flaky integration tests, BitDive delivers infrastructure-free, deep-context verification that scales your coverage, not your codebase. Stop guessing and start knowing.

Features of BitDive.io

Deterministic Runtime Capture & Replay

BitDive goes way beyond simple HTTP logging. It performs a deep dive into the JVM, capturing the full context of every execution: method arguments, return values, thrown exceptions, and every single dependency call like SQL queries and HTTP requests. This rich, runtime data is then transformed into rock-solid JUnit tests that replay the exact same scenario with perfect determinism, every single time, locally or in CI.

AI-Powered Auto-Mocking & Dependency Virtualization

Throw your hand-crafted, fragile mock scripts in the trash. BitDive automatically isolates your service by virtualizing all external systems—databases, third-party APIs, Kafka streams—based on their captured runtime behavior. This means you can run deep integration-level tests on your laptop without needing a single external service online. It’s infrastructure-free testing that reflects reality, not your assumptions.

Log-Less, White-Box Debugging & Root Cause Analysis

Production bug hunting just got a major glow-up. Grab a callId from a failing request and replay the exact failure locally in your debugger. See the entire crash scene: the exact method where it died, the variable states, the problematic SQL query—all visualized in a clear call tree. No more sifting through cryptic log files. It turns "cannot reproduce" into your most reproducible and fixable bug.

Performance Regression & Hotspot Detection

BitDive doesn’t just check for correctness; it guards your speed. By combining distributed traces with method-level execution chains, it surfaces performance regressions and bottlenecks visually. Instantly spot N+1 query explosions, latency hotspots, and inefficient code paths triggered by specific endpoints. Then, validate your fix by comparing before-and-after traces on the identical scenario.

Use Cases of BitDive.io

Creating a Bulletproof Regression Safety Net

Tired of "it worked on my machine"? Use BitDive to automatically generate a living suite of integration tests from real user traffic and QA scenarios. Every bug fix or feature change can be validated against these captured golden paths. This creates an ever-growing, auto-maintained regression shield that ensures new code doesn’t break existing behavior, without writing a single line of test code yourself.

Enabling Surgical AI Agent Development

Supercharge your AI pair programmers (like Cursor or Copilot) with real runtime context. Via MCP, BitDive feeds AI agents actual execution data—variable states, SQL queries, exception details—so they can generate precise, context-aware fixes and features. The AI can then self-validate its changes by replaying the captured tests, closing the loop between AI-generated code and verified, working software.

Accelerating Onboarding & Knowledge Sharing

New team member? Instead of drowning them in outdated documentation and tribal knowledge, let them replay real production scenarios locally. They can see exactly how services interact, what data flows look like, and where the tricky parts are—all through executable examples. It’s the fastest way to understand a complex, living microservices architecture.

Simplifying CI/CD and Pre-Merge Validation

Transform your CI pipeline. BitDive-generated tests are pure JUnit 5 and run anywhere Java runs. Integrate them into your existing Maven/Gradle workflows to get deep, integration-level validation on ephemeral CI agents without the cost and complexity of spinning up full staging environments. Catch integration and performance issues before they ever merge.

Frequently Asked Questions

How does BitDive handle sensitive data in captured executions?

BitDive is built with security and privacy as a core principle. The platform provides robust data masking and sanitization rules that you can configure. You can automatically redact or hash sensitive fields (like PII, passwords, tokens) at the point of capture, ensuring that only safe, anonymized data is stored and used to generate tests, keeping your production data secure.

Does BitDive require me to change my application code?

Zero code changes required. BitDive works through auto-instrumentation of the JVM. You simply add the BitDive libraries to your project, paste a configuration snippet, and you're live. There are no annotations to add or code patterns to follow. It’s designed for seamless, painless integration that gets you value in minutes, not days.

Can I use the generated tests without the BitDive platform?

Absolutely! The tests BitDive generates are standard, deterministic JUnit 5 tests. You own them. They can be checked into your code repository, run with mvn test, integrated into your IDE, and executed in your CI/CD pipeline independently. BitDive creates them, but you have full control and portability.

What if the behavior of an external dependency changes?

This is where BitDive's approach shines. When a downstream service (like an external API) changes its contract, your captured tests will fail because the replayed virtualized response no longer matches the new reality. This is a feature, not a bug—it immediately flags a breaking change that your service must now adapt to, acting as an early warning system for integration issues.