Raygun

Diagnose Production Errors in Seconds, Not Hours

Enable AI coding assistants to instantly pull complete error details from Raygun, providing root cause analysis and remediation suggestions within seconds.

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Painpoint

When users report errors, developers waste valuable time manually gathering context from Raygun, switching between tools, and piecing together stack traces, environment data, and occurrence patterns to understand what went wrong.

Autohive solution

Autohive's AI coding assistants directly access Raygun's complete error details—including stack traces, first occurrence data, and environment context—to provide instant root cause analysis and actionable remediation suggestions, dramatically reducing time to resolution.

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The Challenge

Investigating production errors is a time-intensive, context-switching nightmare for development teams:

  • Manual context gathering: Developers must log into Raygun, locate the error group, review stack traces, check environment details, and analyze occurrence patterns across multiple screens
  • Communication overhead: Users report errors through support tickets or chat, forcing developers to ask follow-up questions about browsers, devices, and steps to reproduce
  • Fragmented workflows: Switching between Raygun, code editors, issue trackers, and documentation breaks developer focus and slows down resolution
  • Delayed response times: Critical bugs sit in queues while developers juggle multiple tools and incomplete information, frustrating users and escalating business impact

The Autohive Solution

Autohive’s Raygun integration enables AI coding assistants to investigate errors autonomously, providing instant, comprehensive analysis without manual tool-switching.

Instant Error Context Retrieval

When a user reports an error, your AI assistant immediately pulls the complete error group details from Raygun—stack traces, first occurrence timestamps, affected user counts, tags, and environment context—eliminating back-and-forth communication.

Root Cause Analysis

The assistant analyzes stack traces, correlates error patterns with deployment history, and identifies the specific code paths or environmental factors causing the issue, providing clear explanations developers can act on immediately.

Actionable Remediation Suggestions

Based on error context and code analysis, the assistant suggests specific fixes, configuration changes, or workarounds, accelerating the path from detection to resolution.

Benefits

  • Reduce Mean Time to Resolution (MTTR) - Cut investigation time from hours to seconds by eliminating manual context gathering
  • Improve Developer Focus - Keep developers in their flow state by removing constant tool-switching
  • Faster User Support - Provide customers with detailed explanations and status updates within minutes of error reports
  • Better Bug Triage - Automatically prioritize errors based on severity, user impact, and occurrence frequency

How It Works

  1. Error Detection - User reports an issue or your monitoring triggers an alert
  2. Automatic Investigation - AI assistant calls Raygun’s API to retrieve complete error group and instance details
  3. Analysis & Diagnosis - Assistant analyzes stack traces, environment data, and occurrence patterns to identify root causes
  4. Actionable Response - Developer receives clear explanation, suggested fixes, and next steps—all in their existing workflow

Getting Started

  1. Sign up at app.autohive.com
  2. Connect your Raygun integration from the marketplace
  3. Configure your AI coding assistant with error investigation capabilities
  4. Start resolving production errors faster than ever

Learn more about the Raygun integration on the Autohive marketplace.

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