When you ask an AI assistant "why is my Stripe payment failing?", it responds with educated guesses based on common patterns.
But the AI doesn't know what actually happened in your specific case. It doesn't have access to:
- What payload did your frontend send to your backend?
- What request did your backend construct and send to Stripe?
- What response did Stripe return?
- How did your backend process that response?
- What error (if any) made it back to the user?
Without this runtime context, the AI is pattern-matching.
The irony is that the data AI needs often exists, it's just scattered and difficult to access.
Auto-correlation tools like Multiplayer automatically capture and link data across your entire stack: frontend interactions, backend traces and logs, and end-to-end request/response headers and content from internal service and external API calls. This data becomes the foundation for effective AI-assisted debugging.
argoeris•1h ago
But the AI doesn't know what actually happened in your specific case. It doesn't have access to:
- What payload did your frontend send to your backend? - What request did your backend construct and send to Stripe? - What response did Stripe return? - How did your backend process that response? - What error (if any) made it back to the user?
Without this runtime context, the AI is pattern-matching.
The irony is that the data AI needs often exists, it's just scattered and difficult to access.
Auto-correlation tools like Multiplayer automatically capture and link data across your entire stack: frontend interactions, backend traces and logs, and end-to-end request/response headers and content from internal service and external API calls. This data becomes the foundation for effective AI-assisted debugging.