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Multiplayer is a full-stack session recorder that helps you develop features, resolve issues and work more efficiently with AI coding tools.
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How is Multiplayer different?

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Purpose-built for engineering workflows, not just monitoring

Multiplayer is versatile by design, supporting the workflows of developers, QA, product, support, and external technical partners alike.

•  Multiplayer adapts to the workflows of all engineering teams making them more productive, less time-consuming and silo’ed. From fixing a bug, to catching hard-to-reproduce failures, understanding a system behavior, developing a new feature, or identifying why a test failed.

•  APM / Observability tools are large, general-purpose platforms focused on monitoring and introspecting deployed systems. They are built primarily for Ops, SRE, DevOps, and Platform teams, and while developers can use them, it usually requires custom dashboards, filters, and correlating data across tools.

Multiplayer’s objective is getting engineers the exact information they need, when they need it, with the fewest clicks possible.

Purpose-built for engineering workflows, not just monitoring

Session-based, with full stack correlation by default

Multiplayer focuses on collecting precise, full stack, correlated data for a given session (user action, test run, system behavior, workflow, etc.), rather than trying to capture everything that ever happened in your system.

•  Multiplayer provides full stack session recordings that collect, correlate, and enrich the exact data you need to fix a bug, understand a workflow, or build a feature. It’s a single timeline with frontend screens, backend traces, logs, request/response data and header content.

•  APM / Observability tools surface raw telemetry for your entire system based on the cardinality thresholds you have specified. You often have to sift through large amounts of uncorrelated data and manually piece together logs, traces, metrics, dashboards, and tickets to understand what happened.

Multiplayer’s approach dramatically reduces the noise and makes the specific and complete data you need, immediately useful.

Session-based, with full stack correlation by default

Designed for AI-native workflows

Multiplayer is built to give AI tools everything they need to be genuinely helpful to developers, without extra effort, rework, or guesswork.

•  Multiplayer’s session-based approach — where every session is a self-contained unit of data, pre-correlated and enriched — is natively suited for AI IDEs, copilots, and agents to generate accurate responses with minimal prompting. Developers and QA can also annotate session recordings with comments, sketches, requirements, and plans, giving AI tools not just the system state but also the scope and intent of the task.

•  APM tools that support MCP servers offer a natural-language interface to interact with telemetry data, but still require AI-assisted search, filtering, and correlation across traces, logs, and metrics to reconstruct system state. Output quality depends heavily on data availability: if something was sampled out or the cardinality isn’t configured correctly, the AI may miss critical context or return incomplete results.

With Multiplayer, you can say “Fix this bug from this session” or “Add this new frontend element based on this sketch and reqs” and the AI has everything it needs to generate the code you want.

Designed for AI-native workflows

Why pair your APM tool with Multiplayer?

Accelerate root cause analysis

Accelerate root cause analysis

With full stack session recordings, Multiplayer lets you instantly see how bugs happened in a single timeline. We reduce the guesswork and time wasted grepping through log files or jumping between dashboards and screens.
Build new features faster

Build new features faster

Multiplayer gives you instant clarity into the specifics of end to end system behavior. And, allows you to annotate session recordings with comments, sketches, and requirements. You can build with confidence and share effortlessly with your team (or AI coding assistant!).
Power AI tools with the data they are missing

Power AI tools with the data they are missing

Multiplayer turns session recordings into structured, AI-ready information with full stack, correlated, enriched and annotated data. Your AI tools can generate more accurate fixes, tests, and feature suggestions.

It's the difference between observing the forest and examining the path someone took through the trees: both are vital, but they serve different purposes.

What Multiplayer does well (and APM tools don’t)

FeatureAPM / Observability ToolsMultiplayer
On-demand session recording
🔴 No
(... Well you can record ALL sessions, store ALL the data 🤑, sift through them…)
Out of the box
(browser extension, in-app widget or SDK starts recording when you want)
Full stack data correlated by session
🟡 Manual customization
(requires manually wiring together user actions, screens, logs, traces, metrics, ... )
Out of the box
(every session automatically correlates data end-to-end from the frontend to the backend)
Distributed traces correlated by session
🟡 Manual customization
(requires manually stitching trace IDs and context)
Out of the box
(traces are automatically tied to user actions)
Request / response content per session
🟡 Manual customization
(requires custom logging)
Out of the box
(automatically captured, including for components deep in your system)
Header content per session
🟡 Manual customization
(requires explicit instrumentation)
Out of the box
(automatically captured, including for components deep in your system)
Session recording annotation
🔴 No
Out of the box
(Add comments, sketches, specs and plans)
MCP server
✔️ Out of the box
(Multiple prompts and searches to get to useful data)
Out of the box
(All context is ready from the start)
Continuous session recording
🔴 No
Out of the box
(Automatically record all user sessions in the background)
Auto-generated session recordings for exceptions
🔴 No
Out of the box
(Intelligently save data only when bugs or issues are detected)
Remotely activated session recordings
🔴 No
Out of the box
(Silently capture and reproduce user-reported issues that lack full detail)
Auto-generated test scripts from session recordings
🔴 No
Out of the box
(Runnable test scripts from real production behavior, capturing edge cases, race conditions, and unexpected flows)
Notebooks
🔴 No
Out of the box
(Built-in sandbox to develop, test, debug and document APIs)
Repositories
🔴 No
Out of the box
(Link directly to your repos)
Service and dependency maps
✔️ Out of the box
Out of the box

What APM tools do well (and Multiplayer *doesn’t want* to do well)

FeatureAPM / Observability ToolsMultiplayer
System health monitoring
👈 Out of scope, try an APM tool
Capture and store all system traces and logs
👈 Out of scope, try an APM tool
Metrics dashboards and trends
👈 Out of scope, try an APM tool
Frontend performance monitoring
👈 Out of scope, try an APM tool
Alerting
👈 Out of scope, try an APM tool
Network monitoring
👈 Out of scope, try an APM tool
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What’s the full flow of this API call?
AI, add these frontend elements based on this sketch.
AI, fix this bug using the session data.
What exactly happened in this failing test?
AI, build this feature based on the session recording and specs.

Answer all these questions instantly

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Best practices on software architecture, system design, debugging, and observability.