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BitDive.io – Automated Testing for Java

BitDive.io - Zero code regression testing for JVM teams. Convert real executions into deterministic Maven and JUnit replay tests, auto mock DB, Kafka, gRPC, and APIs, and debug failures using full method level traces.
Sachin Feb 14, 2026
bitdive


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Company profile:

Startup name: BitDive.io

Tagline: Automated Testing for Java

Elevator Pitch: “We’re now cooperating with AIs… they are doing the generation and we as humans are doing the verification”. While AI coding assistants have 10x’d the speed of code generation, manual verification remains a massive bottleneck that consumes up to 5 hours per test case.

Bitdive is the intelligent runtime layer that closes the loop between AI generation and real-world validation. By capturing method-level application behavior (including all input/output parameters and SQL queries), Bitdive provides AI assistants with the necessary tools to instantly self-verify code changes against production reality. This eliminates the “maintenance tax” of brittle scripts and handcrafted mocks that frequently stall enterprise innovation. Zero code regression testing for JVM teams. Convert real executions into deterministic Maven and JUnit replay tests, auto mock DB, Kafka, gRPC, and APIs, and debug failures using full method level traces

Target Market: FinTech, E-commerce, Healthcare

How will you make money?: We sell BitDive as a paid SaaS and as a self hosted enterprise offering.

How much capital have you raised?: None

Website: https://bitdive.io/

City/Country: London/UK

AI-assisted summary:

BitDive is a platform that offers zero-code test automation and real-time observability for Java and Kotlin applications, enabling developers to convert real application behavior into automated tests without writing test code. (Source: https://bitdive.io/)

The Problem and Target Users

Developers and quality assurance teams often face challenges in maintaining extensive test codebases, which can lead to increased technical debt and maintenance overhead. Traditional testing methods require manual script writing and maintenance, making it difficult to keep up with rapid development cycles. BitDive addresses these issues by providing a solution that eliminates the need for writing and maintaining test scripts. (Source: https://bitdive.io/)

The Product and Key Features

BitDive’s platform offers several key features:

  • Zero-Code Test Automation: Converts real application executions into deterministic replay tests without manual scripting, reducing maintenance and potential for bugs. (Source: https://bitdive.io/)
  • Log-Less Debugging and Root Cause Analysis: Allows developers to replay production scenarios locally with full context, facilitating faster identification and resolution of issues. (Source: https://bitdive.io/)
  • Performance and System Health Monitoring: Provides distributed tracing and method-level observability to detect performance bottlenecks and optimize system health. (Source: https://bitdive.io/)
  • Runtime Intelligence for AI Agents: Equips AI tools with runtime context to analyze execution and verify fixes, bridging the gap between static code analysis and real system behavior. (Source: https://bitdive.io/)

Business Model, Pricing, and Traction

BitDive offers a free Developer & Open Source plan, providing full functionality for individuals and personal projects. For teams running mission-critical workloads, BitDive offers custom enterprise solutions with extended retention, CI/CD integration, team dashboards, compliance support, on-premise deployment, and dedicated onboarding and performance consulting. (Source: https://bitdive.io/blog/bitdive-saas-launch/)

Expert Take

BitDive’s zero-code approach to test automation addresses a significant pain point in software development by reducing the burden of test script maintenance. Its integration of real-time observability and performance monitoring positions it as a comprehensive solution for Java and Kotlin developers. However, the platform’s effectiveness in diverse real-world scenarios and its adoption rate among larger enterprises remain to be seen.

Note: Information based on publicly available sources at the time of writing, and summarized by AI.

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