Sentry vs. Multiplayer for
technical issues and bugs
Sentry tells you what broke. Multiplayer tells you why and shortens your debugging and support workflows.
How is Multiplayer different?
Purpose-built for debugging, not monitoring
Multiplayer is laser-focused on shortening debugging workflows and resolving the technical issues that slow your team down.
• Sentry is primarily an error monitoring and performance tracking platform, designed to answer "what errors are happening across our system?" and to detect patterns and trends across many sessions. When you need to resolve a specific technical issue, you're left sifting through sampled session replays, manually correlating disconnected context from separate tools, and coordinating slow handoffs between support, frontend, and backend teams.
• Multiplayer is purpose-built for collaborative debugging workflows, focused on resolving technical issues and bugs through complete, correlated session context. Full-stack session recordings automatically connect everything (frontend screens, user actions, backend traces, logs, request/response content and headers and user feedback) in a single, shared, annotatable timeline. No hunting, no manual correlation, no tool switching.
From day one, developers get all the context, support gets visibility and end-users get an easy way to report bugs.
Session-based, full stack correlation
Multiplayer captures complete, correlated recordings, giving you precisely the data you need to debug, without the noise.
• Sentry requires vendor lock-in and custom instrumentation to achieve full stack visibility per session. Even when you fully instrument on Sentry, traces are sampled and critical data is missing (user feedback, request/response content and headers, team notes, etc.), forcing you to stitch multiple tools together for a complete view.
• Multiplayer is backend agnostic and automatically captures and correlates full-stack context per session. Everything is captured from DOM events to backend traces and logs, including critical details Sentry misses like request/response content and headers from deep within your system. Multiplayer is compatible with any observability platform, language, framework, or architecture, ensuring no vendor lock-in.
Instead of searching for a needle in a haystack, you get a complete, ready-to-use recording of exactly what happened during the session where the bug occurred.
Everything you need, for any support scenario
Multiplayer adapts to every support workflow. Whether you’re handling a question about “unexpected behavior” or a complex cross-service incident, Multiplayer gives you the full context to resolve it.
• Sentry is built to monitor error rates and trends, not for technical debugging and support. Recordings are set by default to only capture frontend behavior for every session, with limited control over when, what, or how sessions are recorded. Support workflows often require additional configuration, multiple external tools, or features that Sentry simply doesn’t support.
• Multiplayer enables any support workflow, with any existing ticketing system (e.g. Zendesk, Intercom, Jira). Multiple full stack recording modes give you control without overhead. Multiple installation methods work however your team works. Your team can work across multiple use cases: from actively resolving technical support tickets to proactively identifying bugs so you can fix them before users even realize they are there.
With Multiplayer, a single tool powers many workflows out of the box.
Developer-friendly and AI-native
Multiplayer is built for developer AI workflows, providing complete, structured session context that makes AI debugging suggestions accurate instead of guesswork.
• Sentry's proprietary AI agent is optimized for analyzing aggregated error patterns and telemetry data, but when debugging specific technical issues, it works with sampled session replays, masked request/response data, and fragmented backend traces, leading to incomplete suggestions that still require manual investigation and correlation across multiple tools.
• Multiplayer provides AI tools with self-contained, complete session units through its MCP server: frontend screens, unsampled backend traces, full request/response payloads, headers, logs, and team annotations all pre-correlated in one place. Any AI tool can access this complete context to generate accurate root cause analysis and fix suggestions without gaps or guessing.
With Multiplayer your AI assistant becomes genuinely useful because it sees the complete picture.
Why use Multiplayer?
Better data for AI agents (and humans)
Full-stack, auto-correlated, unsampled. Everything you need from frontend screens to backend traces and logs. We also include things your observability tools miss like request/response content and headers from all components in your system.
Plug & Play with your favorite coding agent
Claude Code, Codex, Copilot, … Route issues directly to any and all coding agents you already use and love. No tool switching or ramping up on a proprietary coding agent. Connect our debugging agent to prod and auto-fix bugs while your system is running.
Local first, more secure
Run Multiplayer right next to your coding agent. We cache sessions locally and send data only when we identify a new issue.Complete control over what you debug. Your code is safe: unlike other debugging agents we don’t need access to it.
Intelligent issue creation and deduplication
No PR slop or review fatigue. We gather only the data you need and just enough of it. Issues are deduplicated so the same bug is only tracked once, no matter how many times it was reported. You never have to review or fix the same issue twice.Getting started with Multiplayer
is easy.
One copy/paste in your terminal, and you’re done.
npm install -g @multiplayer-app/cli && multiplayerMore languages and CLI SDKs can be found in our documentation.
Your coding agent is only as good as
the data it uses. Give it what it needs.
Talk to one of our experts and see Multiplayer in action.
Test all our features and experience the full power of Multiplayer.
Check out our in-depth technical documentation.
Best practices on system design, debugging, and observability.