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Multiplayer

Multiplayer

Full stack session recordings: record. code. fix. repeat.

Overview

What it is

We connect your favorite coding agent to prod to fix application bugs automatically. Run us locally and eliminate PR slop.

Intent

I need it when

Reduce cloud costs and tool sprawl while maintaining debugging capability

Multiplayer uses session-based data collection instead of always-on bloated collection, is built on open-source OpenTelemetry, and works with any coding agent (no vendor lock-in). This eliminates expensive data storage costs and proprietary instrumentation while providing better data quality than traditional APM tools.

Keep development velocity high while maintaining code quality with AI agents

Multiplayer runs locally alongside coding agents in any environment (dev, test, staging, prod) and catches bugs the moment they surface, before code ships. This enables developers to stay focused on feature development instead of context-switching into debugging, while ensuring AI-generated code is functionally correct.

Debug transient, non-deterministic, and environment-specific bugs that traditional observability tools miss

Multiplayer captures unsampled, pre-correlated full-stack session data scoped to the exact moment failures occur, including request/response headers and content from deep system components. This surfaces edge cases and 1% bugs that fall below error thresholds in sampled observability tools, enabling coding agents to fix issues that would otherwise go undetected.

Reduce low-quality pull requests from AI coding agents and eliminate PR review fatigue

Multiplayer deduplicates issues locally before sending to coding agents, ensuring the same bug reported across hundreds of sessions becomes one high-quality PR. This reduces review queue volume and eliminates wasted time on near-identical, plausible-but-wrong fixes by grounding every PR in full-stack, unsampled runtime data.

Automatically fix bugs in production without manual debugging and log grepping

Multiplayer captures full-stack session data (frontend interactions, backend traces, logs, request/response content) when failures occur and routes it directly to coding agents to generate merge-ready PRs. This closes the debugging loop automatically, eliminating hours of manual investigation and context-switching.

Drop

Not a fit when

  • Teams using only static code analysis without runtime debugging needs
  • Organizations requiring proprietary, vendor-locked observability solutions
  • Projects without AI coding agents (Claude Code, Copilot, Codex, Cursor) in their workflow
  • Systems that cannot run local-first architecture or have strict data residency requirements preventing local session caching
  • Teams exclusively focused on frontend-only session replay without full-stack backend correlation
Commercials

Pricing

Freemium with paid hosted tier; open-source option available View pricing