Supercharge AI Tools with Runtime Context
Transform AI Assistants from Guessing to Knowing with Real Application Data
Transform your AI development tools with real runtime intelligence from Java, Spring Boot, and Kotlin applications. BitDive provides context-aware observability that supercharges AI assistants with actual execution data, performance patterns, and error flows from your production JVM applications.
"BitDive reduced our MTTR from hours to minutes. AI suggestions are now precise and actionable with real runtime context."Engineering Lead, SaaS Platform
From Root Cause to Fix — Validated with Real Behavior
Complete AI-enhanced workflow for debugging and optimization
Root Cause Analysis
AI explores full call chains with inputs/outputs, SQLs, and latencies to pinpoint exact issues
AI-Powered Fix Suggestions
Give AI tools complete runtime context for precise, relevant code suggestions and optimizations
Live Context Replay
Re-run real call flows across versions to validate behavior changes and ensure fixes work
Regression Validation
Automatically ensure behavior matches pre- and post-deployment with actual execution data
N+1 & Bottleneck Detection
Auto-detect inefficient queries and algorithms with AI-powered pattern recognition
Context-Aware Testing
Generate realistic tests that reflect actual system usage patterns and edge cases
Why AI Development Tools Fall Short
Even the best AI assistants are flying blind without runtime context
AI coding tools like Copilot, ChatGPT, and Cursor can only see your static code. They have no idea how your application actually behaves in real environments, leading to suggestions that miss the mark and fixes that don't address root causes. Recent studies reveal the shocking reality of AI-generated code quality.
- 62% of AI-generated code contains bugs — According to the CodeFlash study, most AI code introduces errors
- Only 10% of AI optimizations actually improve performance — 90% of LLM-driven optimizations are incorrect or slower
- 52% of engineering leaders report performance problems — Increased AI usage directly leads to application slowdowns
- Wasted Development Time — Developers spend hours debugging AI-generated code that doesn't fit their reality
BitDive Supercharges AI Tools with Real Application Context
Transform AI assistants from guessing to knowing with runtime intelligence
BitDive bridges the gap between static code analysis and real system behavior. By providing AI tools with actual execution data from your applications, they can finally understand how your system truly works and provide relevant, accurate assistance.
- Context-Aware Suggestions — AI sees your actual method calls, parameters, and performance patterns
- Real Error Understanding — AI analyzes your specific failure chains and exception flows
- Data-Driven Optimization — AI suggests improvements based on your actual bottlenecks and usage patterns
- Validated Code Generation — AI creates tests and fixes that match your real system behavior
Watch BitDive Transform AI-Powered Development
Complete workflow: Detect N+1 queries → AI analysis → Fix → Validate with runtime data
This 12-minute demonstration shows the complete BitDive workflow using a Spring Boot microservices application. Watch how BitDive's runtime tracing detects 165 SQL queries from a single method call, how Cursor AI analyzes the data through BitDive's MCP protocol to identify N+1 query problems, and how the fix is validated by reducing queries to just 2 while maintaining identical output behavior.
Complete Workflow: Trace → Diagnose → Fix → Replay
From root cause to validated solution - close the loop with runtime intelligence
BitDive enables a complete debugging and optimization workflow. Start with method-level tracing, let AI analyze the data for insights, implement suggested fixes, then replay real scenarios to validate your changes work correctly.
- 🔍 Trace: Capture complete execution flows with method-level detail and real parameters
- 🧠 Diagnose: AI analyzes runtime patterns to identify root causes and optimization opportunities
- 🔧 Fix: Get context-aware suggestions based on your actual system behavior, not generic patterns
- ✅ Replay: Validate fixes by re-running real scenarios and comparing before/after behavior
Runtime Intelligence for AI-Enhanced Development
Give your AI tools the context they need for precise debugging and optimization
BitDive captures comprehensive runtime data including method calls, parameters, SQL queries, exception flows, and performance metrics. This rich context enables AI tools to understand exactly how your system behaves and provide accurate, actionable insights.
- Method-Level Visibility: Complete execution traces with input/output parameters and timing data
- Real Exception Context: Full stack traces with actual parameter values and system state
- Performance Patterns: Identify bottlenecks and inefficiencies with AI-powered analysis
- Behavioral Validation: Ensure changes work correctly by comparing actual execution behavior
Integrate with Your Development & AI Stack
Java
Kotlin
Spring
PostgreSQL
MySQL
MariaDB
MongoDB
Redis
Model Context Protocol
Ollama
Cursor
Windsurf
OpenAI
GitHub Copilot
Anthropic
Claude
Gemini
Grok
Mistral AI
DeepSeek
Perplexity
v0
Cody
VS Code
Visual Studio
IntelliJ IDEA
Docker
Kubernetes
Azure
GitHub
GitLab
KeycloakSupercharge Your AI Tools with Runtime Intelligence
Join engineering teams who use BitDive to transform their AI assistants from guessing to knowing. Get context-aware debugging, validated fixes, and precise optimizations powered by real application behavior.