Multiplayer has launched a new debugging agent designed to help AI coding assistants automatically identify and fix production bugs using real-time runtime visibility. The platform addresses a major limitation in existing AI coding tools, which often lack access to the deep telemetry and contextual data required to resolve production issues effectively.
The company said traditional observability platforms frequently rely on sampled telemetry data, leaving developers without critical debugging information such as request and response content, headers and correlated runtime activity. Multiplayer’s debugging agent aims to bridge this gap by collecting unsampled data and integrating directly with coding agents operating in local development environments.
Quick Intel
According to Multiplayer, modern AI coding assistants excel at generating code but struggle when debugging production systems due to limited access to runtime context and telemetry.
Developers often rely on observability platforms such as Datadog and Sentry to investigate production issues. However, the company noted that sampled data and incomplete telemetry frequently make it difficult to isolate the root cause of application failures.
Multiplayer’s debugging agent was developed to continuously capture and correlate runtime sessions while caching data locally to ensure coding agents receive only the information relevant to resolving active issues.
“Observability tools show you the smoke, but when you’re working with sampled data or missing things like request/response content and headers, you can’t find the fire,” said Thomas Johnson, CTO of Multiplayer. “We got tired of grepping through logs, dealing with missing data and ‘PR slop’ from observability and error management tools that lack real runtime context. We built Multiplayer to be a debugging companion that runs next to your coding agent so you can fix application bugs as they happen.”
The Multiplayer debugging agent is designed to automate the entire production debugging workflow.
The platform manages issue identification, data collection, intelligent triage, duplicate issue grouping, coding agent prompting, pull request generation and user notifications. By reducing duplicate bug reports and repetitive fixes, the company aims to minimize review fatigue for engineering teams.
Multiplayer stated that the platform prioritizes high-severity issues and generates a smaller number of higher-quality, merge-ready pull requests rather than flooding developers with repetitive automated changes.
The company emphasized a local-first architecture focused on developer control and data security.
Multiplayer operates directly alongside developers’ preferred AI coding assistants, including Claude Code, Codex and Copilot. Runtime sessions are cached locally, and the platform only transmits data when a new issue is identified.
According to Multiplayer, this approach helps organizations maintain greater control over sensitive debugging information while enabling AI agents to work with richer runtime context.
Multiplayer believes the future of software development will increasingly rely on self-healing systems capable of automatically detecting and resolving production failures.
The company said developers already using AI-powered coding tools can leverage Multiplayer to provide the runtime intelligence needed to diagnose and fix issues in live production environments.
Benefits highlighted by Multiplayer include plug-and-play deployment, deeper runtime visibility, intelligent issue deduplication and more reliable automated debugging workflows.
The company stated that developers can deploy the debugging agent in minutes using a single command-line installation process.
About Multiplayer:
Multiplayer is the debugging agent for developers. We connect your favorite coding agent directly to production to fix application bugs automatically. Multiplayer runs securely and locally alongside tools like Claude Code, Codex, and Copilot. From there, it feeds your agent the full-stack, auto-correlated, and unsampled data and context observability tools miss. Operating with a secure, local-first approach, we intelligently deduplicate issues to eliminate review fatigue. Multiplayer replaces log grepping and “PR slop” with a handful of high-quality, automated pull requests.
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