Depct tool collects runtime data to help Claude debug production issues
Depct is a tool that collects runtime instrumentation data from applications and feeds it to Claude to help debug issues that only appear in production environments. It specifically addresses problems that are hard to trace from code alone, such as functions that fail intermittently during actual usage.
How it works
The tool operates by:
- Collecting runtime data from your application
- Building graphs from the collected runtime data
- Combining the runtime graphs with your source code
- Sending this combined data to an LLM on AWS Bedrock for analysis
Key features
- Generates architecture diagrams from runtime behavior
- Creates dependency maps based on actual runtime patterns
- Allows fine-tuning of which files and folders the tool can access
- Connects Claude to generated data through depct's MCP (Model Context Protocol) for access to runtime data during sessions
Privacy and data handling
- Raw runtime data is deleted after generation
- Source code is never stored
- Only the generated graphs and outputs are kept for convenience
Compatibility
The tool currently works with any Node.js applications and frameworks.
This type of tool is useful for debugging production issues where the code appears correct but fails under specific runtime conditions that are difficult to reproduce in development environments.
📖 Read the full source: r/ClaudeAI
👀 See Also
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