The debugging agent for developers: runs locally and eliminates PR slop

AI coding assistants excel at writing code but struggle with fixing production bugs due to a lack of runtime visibility, as traditional observability stacks are designed for human monitoring and often miss critical data points. To address this, some teams have attempted to integrate AI agents with observability tools like Datadog or Sentry, but these solutions often result in plausible pull requests that fail in practice because of data sampling and aggregation issues, missing request/response details, and non-correlated information across multiple tools. In response, the Multiplayer debugging agent was created to offer a streamlined solution that provides AI agents with full-stack, unsampled runtime data for accurate bug fixes. Multiplayer operates locally alongside coding agents, capturing and correlating data only during failures to maintain low storage costs and security by ensuring code never leaves the developer's machine. It features intelligent triage and deduplication to prevent redundant error prompts and PRs, thereby enhancing the efficiency of coding agents in fixing known and new bugs.