AI agents to debug
production issues
production issues
Jina Debug spawns agents that plug into your monitoring tools, codebase, and business context to help you triage, research, and debug production issues faster.
When possible, it goes further—investigating the root cause and opening a pull request to resolve the issue automatically.
When possible, it goes further—investigating the root cause and opening a pull request to resolve the issue automatically.
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Capture all technical and business context
Like production engineers, Jina Debug's agents plug into your monitoring stack, codebase, PR changes, and runbooks, as well as business context from tools like Slack and Linear. It pulls this together into a debugging graph tailored to your production issues.
- Connects to monitoring stack, codebase, PR changes, runbooks
- Brings in business context from Slack, Linear, and more
- Builds a graph optimized for debugging production issues
Integration Settings
Connect your tools to Jina Debug
S
Sentry
Error monitoring & alerts
G
GitHub
Source code & PRs
S
Slack
Team communication
N
Notion
Documentation & runbooks
D
Datadog
Metrics & monitoring
L
Linear
Issue tracking
J
Jira
Project management
All connected tools provide context for debugging
Intelligence powered by knowledge graphs
Jina Debug builds a comprehensive knowledge graph that interlinks monitoring logs, code changes, and business context. This enables sophisticated reasoning through causal relationships, making it uniquely capable of identifying root causes and offering more relevant responses.
- Interlinks monitoring logs with codebase and business context
- Identifies causal relationships across your entire system
- Provides more relevant and accurate debugging responses
- Faster root cause identification through intelligent reasoning
Your debugging partner in production
You can chat with Jina Debug's agents to research, triage, and resolve issues. It suggests root cause hypotheses, helps you quickly debug, and can even draft and submit a pull request for the fix.
- Conversational interface to research and triage issues
- Generates and explains root cause hypotheses
- Assists in fixing issues and submitting pull requests
J
Jina Debug
AI Debugging Assistant
User tried to submit invoice, but it didn't work. Can you fetch the relevant logs and context?
🔍 Fetching logs and context...
✓ Retrieved error logs from last 2 hours
✓ Checked user session data
✓ Analyzed payment service calls
✓ Reviewed invoice validation rules
✓ Checked user session data
✓ Analyzed payment service calls
✓ Reviewed invoice validation rules
📋 Found in logs:
ERROR: ValidationError: Invalid amount format
User ID: 12345, Invoice ID: INV-789
Amount: "$1,234.56" (string format)
Expected: number format
User ID: 12345, Invoice ID: INV-789
Amount: "$1,234.56" (string format)
Expected: number format
What's the root cause? Give me a few options.
🔍 Root Cause Analysis:
Option 1: Frontend sending string instead of number
Option 2: Currency formatting issue in validation
Option 3: Missing type conversion in API layer
Option 2: Currency formatting issue in validation
Option 3: Missing type conversion in API layer
Option 1 looks right. What's the fix?
💡 Fix for Option 1:
// Frontend: Convert string to number
const amount = parseFloat(amountString.replace('$', ''));
// Backend: Add validation
if (typeof amount !== 'number') {
throw new ValidationError('Amount must be a number');
}
const amount = parseFloat(amountString.replace('$', ''));
// Backend: Add validation
if (typeof amount !== 'number') {
throw new ValidationError('Amount must be a number');
}
Type your message...
Build autonomous workflows
Connect Jina Debug to your monitoring tools so it's alerted immediately when something breaks. It will explain what happened, why, and if the fix is straightforward, it can even autonomously investigate and open a pull request to resolve it.
- Integrates directly with monitoring tools for instant alerts
- Provides context on what happened and why
- Investigates simple issues and submits PRs automatically
# errors • Slack
S
Sentry • 2 minutes ago
🚨 New Issue: TypeError in PaymentService
TypeError: Cannot read property 'amount' of undefined
at PaymentService.processPayment (payment.js:45)
at PaymentController.create (controller.js:23)
at PaymentService.processPayment (payment.js:45)
at PaymentController.create (controller.js:23)
Impact: 12 users affected • Environment: production
J
Jina Debug • 1 minute ago
🔍 Analysis: Payment processing failure in checkout flow. The error occurs when processing payments with missing amount data.
// Suggested fix:
if (!paymentData || !paymentData.amount) {
throw new ValidationError('Amount is required');
}
if (!paymentData || !paymentData.amount) {
throw new ValidationError('Amount is required');
}
🤖 Ready to create PR? I can implement this fix and submit for review.
Frequently Asked Questions
Get answers to common questions about Jina Debug,
our AI-powered debugging platform.
our AI-powered debugging platform.
Jina Debug is an AI-powered debugging platform designed for engineering teams who need to debug production issues faster. It's perfect for SaaS companies, DevOps teams, and any organization that wants to reduce incident response time and improve system reliability.
Jina Debug integrates with your monitoring tools, codebase, PR changes, and runbooks, as well as business context from tools like Slack and Linear. It uses APIs and webhooks to gather context from across your entire tech stack.
Yes! For common, low-risk issues, Jina Debug can identify the root cause, generate a fix, and automatically create and merge a pull request. For more complex issues, it provides detailed analysis and suggested solutions for your team to review and implement.
Jina Debug excels at debugging application errors, performance issues, deployment problems, dependency conflicts, and configuration issues. It can trace problems across microservices, identify breaking changes, and help understand unfamiliar parts of your codebase.
Absolutely. We use enterprise-grade security with end-to-end encryption, SOC 2 compliance, and never store your actual code. Jina Debug only accesses metadata and logs necessary for analysis, and all data is processed in secure, isolated environments.
Getting started is simple! Request access, connect your repositories and monitoring tools, and our AI agents will begin learning your system. Most teams see value within the first week as Jina Debug starts providing insights and automating common fixes.
Ready to debug faster?
Join engineering teams already using Jina Debug to reduce incident response time,
automate common fixes, and focus on what matters most.
automate common fixes, and focus on what matters most.
Get Access
Jina Debug
AI agents to debug production issues