OpenBug CLI is an intelligent command-line tool that helps you debug your applications in real-time using AI assistance. Run your commands, view logs, and get AI-powered insights all in one interactive terminal interface.
OpenBug is an AI-powered debugging CLI designed for developers who need real-time insights into running applications. It combines log capture, codebase search, and an interactive AI assistant into a single tool that runs in the terminal. The core value is eliminating the constant context-switching between logs, code editors, and separate debugging tools. Instead, developers can ask plain-language questions about their system and get answers derived from actual runtime data. This tool is especially useful for debugging microservices, understanding unfamiliar codebases, or tracing issues across multiple services without leaving the command line.
The primary pain point OpenBug solves is the inefficiency of traditional debugging workflows where developers manually grep through logs scattered across multiple terminals, then cross-reference code locally. When a production issue like an auth endpoint failure arises, the developer must switch between error logs, code files, and documentation, hoping to connect the dots. OpenBug eliminates this fragmentation by capturing logs automatically and making them accessible alongside the codebase in a chat interface. This matters because debugging time is often wasted on context restoration rather than actual analysis, and OpenBug collapses that process into a single conversation.
The first major feature is automatic log capture via the `debug <command>` prefix. When a developer runs `debug npm run dev` or `debug python app.py`, OpenBug intercepts the process, streams logs to a local cluster, and makes them available to the AI assistant in real time. Unlike manual log shipping, this requires no configuration beyond installing the npm package. The benefit is immediate: developers see logs flow normally in their terminal while simultaneously enabling the AI to reference those logs when answering questions. This makes debugging dynamic rather than retrospective.
The second set of features focuses on natural language codebase search and AI chat. Developers can ask questions like "Why is the auth endpoint failing?" or "Where do we handle payment webhooks?" directly in the assistant terminal. The AI agent searches the local codebase (which stays on disk) and correlates the relevant code sections with the captured logs. Unlike coding assistants like Cursor or Copilot that only do static analysis, OpenBug sees what the code actually produced at runtime. This is particularly powerful for diagnosing race conditions, config errors, or schema drift that don't appear in the source code alone.
Publisher
A
admin
Launch Date2026-02-14
Platformweb
Pricingfree
Tech Stack
#Node.js#TypeScript#WebSocket