Name: BitDive - Zero Code Test Automation for QA Engineers
Availability: InStock
Rating: 4.8 (127 reviews)
Author: BitDive

The Reality of Test Automation Today

Most time is spent writing fragile automated tests, managing mocks and test data, and digging through logs to find root causes instead of preventing bugs.

Flaky Tests and Test Code Explosion

Writing and maintaining fragile automated tests that break with every API testing or architecture change. Test automation maintenance becomes a full-time job for QA automation engineers.

Mock Testing and Test Data Management Hell

Creating and managing complex mock testing and test data management for database testing, Kafka testing, REST API testing, and gRPC. Every integration testing requires manual setup.

Long Root Cause Analysis for Production Bugs

Hours spent on root cause analysis, correlating logs, metrics, and distributed tracing across microservices testing to find production bug detection.

Stop Maintaining Test Scripts

Start Preventing Bugs with Zero-Code QA

Stop spending your time on test maintenance, production triage, and debugging flaky tests. BitDive captures real runtime traffic from any environment and automatically verifies your code changes. No test scripts. No mocks to maintain.

Start in Five Minutes: Add a single library to your Java or Kotlin app and let BitDive do the rest. Setup is automatic and production-ready within minutes
Zero Code. No Generation. No Maintenance: No scripts, no test code, no code generation. BitDive captures real executions and transforms them into reusable verification scenarios automatically
Full Runtime Capture: Records methods, parameters, SQL queries, HTTP calls, exceptions, and cross-service chains. Real behavioural validation, not surface checks
Intelligent Mocking: Auto-creates mocks for databases, REST, Kafka, gRPC. Self-updating as your system evolves. Run locally or in CI without external dependencies

Get Started Free

6 Core QA Problems BitDive Solves

Major testing challenges and how BitDive addresses each one

Automated Regression Testing for Product Stability

The Problem: Automated test suites are flaky and break with every architecture or API change. Constant maintenance becomes a full-time job for the entire QA team.

How BitDive Solves It: Captures real production traffic and converts it into stable, self-healing regression test suites that evolve automatically with your system—no manual updates needed.

API Testing and Integration Testing

The Problem: Creating and maintaining mocks for every API, database, and service. Test code grows larger than application code, and everything breaks when dependencies change.

How BitDive Solves It: Records real API calls, database queries, and service interactions from production. No mocks to write or maintain—tests use actual production behavior.

Root Cause Analysis and Bug Detection

The Problem: When tests fail, hours are spent digging through logs, correlating timestamps, and trying to reproduce the issue locally. "Works on my machine" becomes the norm.

How BitDive Solves It: Every test failure shows the exact failing method with complete call chain, parameters, SQL queries, and API responses. Instant root cause, no detective work required.

Test Automation Code Maintenance

The Problem: Traditional test frameworks require constant updates—every UI change, API update, or refactoring breaks tests. Technical debt from test code slows down feature delivery.

How BitDive Solves It: Zero test code to maintain. Traffic-based testing captures real user behavior and automatically adapts to changes—no Selenium scripts, no Cypress tests, no framework updates.

Test Data Management and Environment Setup

The Problem: Complex test data setup for each scenario. Database seeding scripts, Kafka message mocks, test environment configuration—all manually maintained and frequently broken.

How BitDive Solves It: Uses real production traffic as test data. No manual data setup, no environment configuration, no test database seeding—production reality becomes your test suite.

Confidence in Production Deployments

The Problem: Tests pass in staging but bugs still slip to production. No way to know if the code changes actually work with real user scenarios and production data patterns.

How BitDive Solves It: Compares new code behavior against production traffic patterns. Detects semantic drift in business logic, SQL queries, and API responses before deployment—production-grade confidence in staging.

Deep runtime context for debugging and root cause analysis

Deep Runtime Context Instead of Black Box

Debug and find root causes without guessing from logs

For every problematic test case, QA engineers can see the complete runtime context. No more piecing together clues from logs and timestamps. Open a specific trace and show developers exactly what broke and why.

Full application visibility: from service topology to method-level details, track every step effortlessly
Cross-service dependency mapping: automatically map service-to-service communications down to each method
Distributed tracing enriched with method context: connect high-level traces to code-level details
Application code flow visualization: instantly see call and error chains across services, classes, and methods. No logs needed at all

Explore Root Cause Analysis