BitDive AI

BitDive.io provides runtime observability and zero-code test automation for Java, Kotlin, and Spring Boot applications, capturing method-level traces to enable AI-enhanced debugging and replay tests.

Core Features

BitDive captures full execution flows including method calls, SQL queries, HTTP requests, exceptions, and distributed traces across microservices without code changes or performance overhead. Key capabilities include root cause analysis, AI-powered fix suggestions via Model Context Protocol (MCP), live context replay for validation, N+1 query detection, and automatic generation of deterministic JUnit/Maven tests from real scenarios.​

AI Integration

The platform supercharges AI tools like Cursor, Copilot, and Claude by feeding them runtime context such as call chains, parameters, latencies, and error flows, reducing hallucinations and enabling precise optimizations. MCP protocol allows on-demand access for runtime-grounded code generation, root cause explanations, and fix verification through replays.​

Recent Updates

BitDive released version 1.2.6 in early December 2025, enhancing runtime intelligence for JVM apps with new capabilities detailed in their blog. Recent docs from late December 2025 emphasize unit tests via deterministic replay, protecting against semantic drift in integration scenarios.​

Pricing Plans

A free Developer plan offers full features for one project with 14-day data retention, targeting individuals and open-source. Teams and Enterprise require contacting sales for custom pricing, including unlimited monitoring, self-hosting, CI/CD integration, and SLAs.​

Target Users

Engineering teams building Java/Kotlin microservices benefit most, especially those using Docker, Kubernetes, Spring, PostgreSQL, and AI IDEs for debugging, performance tuning, and test automation.​