Install with AI Assistants
Let Claude Code, GitHub Copilot, or ChatGPT install IssueCapture for you automatically
Installation in under 5 minutes with intelligent placement decisions
For Claude Code / Copilot / Cursor
Simply ask your AI assistant:
"Help me install the IssueCapture widget"AI detects your framework automatically
Next.js, React, Vue, or Vanilla JS
AI analyzes your codebase
Searches for existing feedback buttons, navigation structure
AI recommends best placement
Use existing button, auto-positioned, or custom trigger
AI generates and applies code
Framework-specific, TypeScript-ready, SSR-safe
For ChatGPT / Claude Web
Copy this prompt and paste into your AI chat:
I need help installing the IssueCapture widget into my [FRAMEWORK] application. API Key: [GET FROM https://issuecapture.com/dashboard/widgets] Step 1: Analyze my codebase structure - Look for layout/navigation components - Search for existing feedback/bug report buttons or links - Text patterns: "feedback", "report bug", "help", "support" - ID/class patterns: feedback-btn, bug-report, support-link - Identify the best placement strategy Step 2: Recommend integration approach Based on what you find, choose one: - Option A: Use existing element (if found with confidence ≥60%) - Option B: Auto-positioned floating button (if no existing element) - Option C: Custom trigger in navigation (if consistent nav pattern) Provide reasoning and alternatives. Step 3: Generate installation code - Follow [FRAMEWORK] best practices - For Next.js: use 'use client', handle SSR properly - For React: initialize in useEffect - For Vanilla JS: use ES module imports - Include TypeScript types if applicable - Add environment variable for API key - **If the app has authentication, prefill user data:** - Get user name and email from auth session - Pass to widget via 'user' config object - Listen for auth state changes to update widget - Provide testing instructions Step 4: Output format Analysis: - Detected structure: [describe] - Existing elements found: [list with file paths] - Recommendation: [Option A/B/C with reasoning] Implementation: [Code blocks with file paths] Environment Variables: [Where to add API key] Testing: [Step-by-step instructions]
Tip: Replace [FRAMEWORK] with your framework (Next.js, React, Vue, etc.)
Tip: For better results, share your package.json and main component files
What the AI Will Do
Framework Detection
Automatically identifies your framework by analyzing package.json, config files, and project structure
Existing Element Detection
Searches your codebase for existing feedback or bug report buttons to maintain your UI
Smart Placement
Makes intelligent recommendations based on confidence scores and your codebase structure
Framework-Specific Code
Generates proper code following best practices for your specific framework and setup
User Data Prefilling
Automatically detects auth systems and prefills user name/email in the widget form
Example Output
Here's what the AI will generate for a Next.js project:
Analysis:
✓ Detected: Next.js 14 (App Router) with TypeScript
✓ Found: "Feedback" button in app/components/Navbar.tsx
Confidence: 85% (High)
✓ Recommendation: Use existing element
Implementation:
// app/components/IssueCapture.tsx
'use client';
import { useEffect, useState } from 'react';
import { createClientComponentClient } from '@supabase/auth-helpers-nextjs';
export default function IssueCapture() {
const [user, setUser] = useState<{ name: string; email: string } | null>(null);
const supabase = createClientComponentClient();
// Get user data from auth session
useEffect(() => {
const getUser = async () => {
const { data: { session } } = await supabase.auth.getSession();
if (session?.user) {
setUser({
name: session.user.user_metadata?.full_name || session.user.email?.split('@')[0] || 'User',
email: session.user.email || ''
});
}
};
getUser();
const { data: { subscription } } = supabase.auth.onAuthStateChange((event, session) => {
if (session?.user) {
setUser({
name: session.user.user_metadata?.full_name || session.user.email?.split('@')[0] || 'User',
email: session.user.email || ''
});
} else {
setUser(null);
}
});
return () => subscription.unsubscribe();
}, [supabase]);
useEffect(() => {
import('https://issuecapture.com/widget.js').then((IC) => {
const config: any = {
apiKey: process.env.NEXT_PUBLIC_ISSUECAPTURE_API_KEY!,
trigger: '#feedback-btn'
};
// Prefill user data if authenticated
if (user) {
config.user = {
name: user.name,
email: user.email
};
}
IC.default.init(config);
});
}, [user]);
return null;
}
// app/layout.tsx (add this import)
import IssueCapture from './components/IssueCapture';
Environment Variables:
Add to .env.local:
NEXT_PUBLIC_ISSUECAPTURE_API_KEY=your_api_key_here
Testing:
1. npm run dev
2. Open http://localhost:3000
3. Click the "Feedback" button
4. Verify widget opensWhy Use AI-Assisted Installation?
Under 5 minutes vs 10-30 minutes manual setup
Framework-specific code generated correctly every time
AI analyzes your UI and recommends best location