Fix Mobile App Bugs Faster with Full-Stack Context
The Challenges of Mobile Debugging
Debugging mobile apps is notoriously difficult: issues often appear on devices or environments developers can’t easily reproduce. Common challenges include:
- Limited visibility into backend interactions and API behavior
- Hard-to-reproduce bugs due to device or network variability
- Fragmented debugging across native and JavaScript layers
- Disconnected frontend and backend error tracking
- Missing context for AI-assisted debugging and issue resolution
How Multiplayer Simplifies Mobile Debugging
Multiplayer captures complete, correlated sessions across your React Native app: from gestures and navigation events to backend traces, logs, and API calls. You see everything that happened, on every layer of the stack, in one place.
End-to-End Visibility
Record full-stack sessions that connect what users do on screen (taps, gestures, navigation) with what your system does under the hood (API requests, backend traces, logs, and responses).
Cross-Layer Correlation
Understand how native modules, React components, and backend services interact during failures. Multiplayer correlates frontend events with backend traces automatically.
AI-Ready Debugging Context
Feed your session recordings directly into AI coding tools via MCP integration. The AI can analyze the full context (frontend behavior, backend data, and user flow) to pinpoint causes and suggest fixes.
Collaboration Made Simple
Share annotated recordings with your team, QA, or support engineers. No more vague screenshots: you’ll capture the exact sequence of events that led to an issue so you can debug it confidently.
Full-Stack Debugging Workflow for Mobile Apps
With Multiplayer, debugging your mobile app becomes faster, visual, and fully reproducible.
- Record mobile sessions on demand: capture gestures, navigation, screen activity, and full backend data.
- Replay the issue visually to see exactly what the user did and how your system responded at every step.
- Inspect and filter backend data (logs, spans, traces, headers, and responses) correlated with each user action.
- Annotate recordings to flag problem areas, note hypotheses, or explain the issue for teammates.
- Share recordings with developers, QA, or support teams for immediate collaboration and aligned debugging.
- Feed the session data into AI tools to generate focused, context-aware fixes, new feature development plans or tests.