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Multiplayer Debugging Agent

Connect your coding agent to prod and fix bugs automatically

Multiplayer runs locally alongside tools like Claude Code, Codex, and Copilot. From there, it feeds your agent the full-stack, pre-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.

Top comment

AI coding assistants are great at writing code. They are not great at fixing bugs in production. The reason is simple: they don’t have runtime visibility.

The problem: Connecting them to your existing observability stack produces plausible-looking PRs that fail in production. That’s because the problem is the data itself: sampled, aggregated, not natively correlated across service boundaries, and missing critical information like request/response content and headers from all components in your system.

The solution: The Multiplayer debugging agent runs locally next to your coding agent and manages the whole process from bug identified to bug fixed, using full-stack, unsampled runtime data.

Features worth noting:

- Better data for coding agents (and humans): we capture and pre-correlate deep, unsampled data across your entire system, giving your agent the complete runtime picture. Nothing is missing, from frontend user actions to backend traces and logs, including request/response content and headers from deep within your system.
- Session-based data collection: Multiplayer listens continuously but only saves data when something goes wrong. Instead of bloated, costly and noisy always-on collection you get all the benefits of a leaner, targeted data model.
- Plug and play with your favorite coding agent: we’re vendor-agnostic by design, it works with Claude Code, Codex, Copilot, Cursor, and whatever ships next.
- Local-first and secure: run Multiplayer right next to your coding agent. We cache sessions locally and send data only when we identify a new issue.
- Intelligent issue triage and deduplication: we filter for high-priority bugs and group identical errors locally. You get one high-quality, merge-ready fix for critical issues, instead of an avalanche of duplicate PRs for the same bug.

Who it's for: For developers who want self-healing systems, not just more alerts and dashboards. If you are already using an AI agent to write your code, Multiplayer gives it the data it needs to fix application bugs in production when they break. You can get started in just a couple of minutes by copy/pasting one command line into your terminal.

npm install -g @multiplayer-app/cli && multiplayer

👉🏻 Which coding agent are you running? Curious what stack we're landing in.

💜 Thank you for checking Multiplayer.

About Multiplayer Debugging Agent on Product Hunt

Connect your coding agent to prod and fix bugs automatically

Multiplayer Debugging Agent was submitted on Product Hunt and earned 10 upvotes and 1 comments, placing #74 on the daily leaderboard. Multiplayer runs locally alongside tools like Claude Code, Codex, and Copilot. From there, it feeds your agent the full-stack, pre-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.

On the analytics side, Multiplayer Debugging Agent competes within Developer Tools, Artificial Intelligence and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Multiplayer Debugging Agent performed against the three products that launched closest to it on the same day.

Who hunted Multiplayer Debugging Agent?

Multiplayer Debugging Agent was hunted by Raul Perțe. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Multiplayer Debugging Agent including community comment highlights and product details, visit the product overview.