Debug Production Exceptions Without Breaking
Remote debugging meets AI-powered auto-fix. Set non-breaking breakpoints, capture full context on exceptions, let AI analyze and fix issues automatically.
Non-breaking AI auto-fix Auto-commit
Available for
Coming Soon
Production Bugs Cost Millions in Downtime
Current debugging tools show that exceptions happened, but not why. You're left guessing without the context you need.
Blind Debugging
Sentry and Datadog show exceptions happened but not why. Stack traces without variable values are useless.
Breakpoints Break Production
Traditional debuggers freeze your application. Can't debug production without risking downtime.
Manual Exception Triage
Every exception requires manual investigation. Hours or days per bug. More time firefighting than building.
Remote Debugging That Actually Works
Non-breaking breakpoints that capture full context. AI analyzes exceptions and creates fix commits automatically.
Non-Breaking Breakpoints
Set hooks that capture stack traces and variable values without pausing execution. Debug production without downtime.
Automatic Exception Hooks
When exceptions throw, Monitor auto-sets breakpoints at nearest scope boundary. No manual setup required.
Full Context Capture
Every exception includes complete variable state, full stack trace, and execution timeline. See exactly what happened.
AI Root Cause Analysis
AI reviews exception data, analyzes code flow, identifies root cause, and proposes fixes automatically.
Automatic Fix Commits
AI writes code, creates branch, commits fix. Review the PR, merge if correct. From exception to fix in minutes.
Smart Ticket Management
Duplicate exceptions auto-group into existing tickets. AI tracks fix attempts and learns from patterns.
From Exception to Fix in Under 60 Seconds
Four simple steps from production error to deployed fix
Exception Detected
Production exception triggers automatic context capture
Context Captured
Variables, stack trace, and execution timeline instantly available
AI Fix Generated
AI analyzes context, generates production-ready fix, creates PR
Up and Running in 30 Seconds
Install plugin → Add monitoring agent → Start catching exceptions
# Download the Java agent
curl -L https://aivory.net/agent/java -o aivory-agent.jar
# Add to your JVM startup
java -javaagent:aivory-agent.jar \
-Daivory.key=YOUR_API_KEY \
-jar your-app.jar
1. Open IntelliJ IDEA / Eclipse
2. Go to Settings → Plugins
3. Search for "AIVory Monitor"
4. Click Install → Restart IDE
5. Link with your API key
# Exceptions now appear in your IDE!
# Install via npm
npm install @aivory/monitor
# Add to your app entry point
require('@aivory/monitor').init({
apiKey: 'YOUR_API_KEY'
});
# Or use environment variable
AIVORY_KEY=YOUR_API_KEY node -r @aivory/monitor app.js
1. Open VS Code
2. Press Ctrl+Shift+X (Cmd+Shift+X on Mac)
3. Search for "AIVory Monitor"
4. Click Install
5. Link with your API key
# Exceptions stream to your IDE in real-time!
# Install via pip
pip install aivory-monitor
# Add to your app
import aivory_monitor
aivory_monitor.init(api_key="YOUR_API_KEY")
# Or use environment variable
export AIVORY_KEY=YOUR_API_KEY
python -m aivory_monitor your_app.py
1. Open PyCharm / VS Code
2. Go to Settings → Plugins/Extensions
3. Search for "AIVory Monitor"
4. Click Install → Restart
5. Link with your API key
# Python exceptions with full stack traces!
# Install via NuGet
dotnet add package AIVory.Monitor
# Add to Program.cs
using AIVory.Monitor;
builder.Services.AddAIVoryMonitor(options => {
options.ApiKey = "YOUR_API_KEY";
});
# Or via environment variable
AIVORY_KEY=YOUR_API_KEY dotnet run
1. Open Visual Studio / Rider
2. Go to Extensions → Manage Extensions
3. Search for "AIVory Monitor"
4. Download and Install → Restart
5. Link with your API key
# .NET exceptions with IntelliSense support!
Stop Debugging. Start Auto-Fixing.
Let AI handle your production exceptions. From error to fix in under 60 seconds.