DebugClip

Open source landing page — give it a ⭐ if it helps you debug faster

Chrome extension for developers — install in 10 seconds

Capture errors. Ask AI. Get fixes.

DebugClip catches console errors, failed network requests, and CSP violations from any tab — then formats them into a clean, structured prompt you can paste into Claude or ChatGPT. No more manual copy-pasting from DevTools.

📥 Captures errors📝 Builds prompt🚀 Send to AI

Add to Chrome — Free ▶ Watch Demo How it works

100% local — no data leaves your browser• Works on any website• Free forever — Pro for $4

The Problem with Manual Debugging

Every developer knows the pain. You see an error, open DevTools, copy the message, switch to ChatGPT, paste it, add context manually, wait, switch back. Repeat 50 times a day.

😩

Context switching kills flow

Jumping between DevTools, your editor, and an AI chat breaks your concentration and wastes minutes every cycle.

📋

Copy-paste loses context

Raw error messages without headers, request bodies, or stack traces give AI incomplete information — leading to useless answers.

⏱️

Manual formatting is tedious

Structuring error data into a good prompt takes effort. Most developers don't bother, so the AI gives generic responses.

The old way vs. the DebugClip way

✗

Without DebugClip

See error in console → squint at 200-line stack trace

Open ChatGPT in a new tab

Go back to DevTools, copy the error message

Paste it into ChatGPT — no stack trace, no context

AI gives you a generic 'maybe try this' response

Go back to DevTools, copy more context (headers, body...)

Paste again, re-explain the problem

Repeat for each error — lose 5-10 min per bug

⏱️ 5–10 minutes per error. 50+ errors/day = hours wasted.

✓

With DebugClip

Browse your app — DebugClip runs silently in the background

See the badge count: '3 errors detected'

Click DebugClip — all errors + network failures in one view

Click 'Send to Claude' — structured Markdown prompt compiled

AI gets full stack trace, headers, request body, status code

Get a specific, actionable fix — not a generic answer

⚡ Under 10 seconds from error → AI explanation. Zero context switching.

Everything DevTools shows. Without opening DevTools.

DebugClip captures the same errors, warnings, and network failures you see in Chrome DevTools — but presents them in a clean dashboard with one-click AI analysis.

Console

console.error()

Every error logged by your code or libraries

console.warn()

Deprecation notices, misconfigurations

Uncaught TypeError

Accessing properties on null/undefined

Unhandled Promise Rejections

Async failures without .catch()

Network

fetch() → 4xx/5xx

API calls returning error responses

fetch() → Network Error

DNS failures, timeouts, CORS blocks

XMLHttpRequest failures

Legacy AJAX calls that fail

Resource load failures

Broken images, scripts, stylesheets (404/DNS)

Security & Browser

CSP violations

Blocked inline scripts, fonts, styles

Mixed content warnings

HTTP resources on HTTPS pages

CORS errors

Cross-origin blocks with full details

Deprecated API warnings

Browser deprecation notices

12+

Error types captured

0ms

Performance overhead

100%

Local processing

Everything you need to debug faster

Built by developers, for developers.

One-Click Capture

Console errors, warnings, unhandled rejections, failed fetch/XHR — all captured automatically without opening DevTools.

Structured AI Prompts

Errors compiled into token-dense Markdown with stack traces, request/response payloads, and headers — optimized for LLMs.

Works Everywhere

Localhost, staging, production — any website. No configuration required. Just install and it works.

Privacy-First

All processing happens locally in your browser. No data is ever sent to DebugClip servers. BYOK model for API keys.

Claude & ChatGPT

Send your debug context to Claude or ChatGPT with one click. Auto-injection into the LLM input field (Pro).

Native Chrome Extension

Manifest V3 compliant. Minimal permissions. Runs in the background with zero performance overhead.

How it works

Four steps. Zero configuration.

Browse any page

DebugClip runs silently in the background. No setup needed.

Errors are captured

Console errors, failed API calls, and unhandled exceptions are intercepted automatically.

Click DebugClip

Open the extension popup to see all captured telemetry in a beautiful dashboard.

Send to AI

Select errors, preview the structured prompt, and send to Claude or ChatGPT in one click.

▶ Live Demo

See DebugClip in action

Real errors. Real websites. No setup, no edits — just install and go.

debugclip — live demo

📹 Live recording on real websites — no simulations

Try it yourself — Free

Built for developers. Priced like it.

No subscriptions. No hidden fees. Pay once, use forever. We believe good dev tools should be accessible to everyone.

Free

Forever — no limits

Full error & network capture
Structured AI prompt compiler
Copy prompt to clipboard
Claude & ChatGPT support
Unlimited usage
Badge error counter

Install Free

BEST VALUE

Pro

One-time — lifetime access

Everything in Free
Auto-inject prompt into LLM tab
Custom prompt templates
Session history across pages
LocalStorage snapshot capture
Priority support & updates

Get Pro — $4

Less than a coffee. Saves hours every week.

Support the Project

$1+

Buy me a coffee ☕

DebugClip is built by an indie developer. Your donations fund new features, and keep the project alive and growing. Every dollar helps.

Fund future features & updates
Support indie open-source dev
Get mentioned in release notes
Good karma ✨

Pick an amount — every dollar counts:

$1 $3 $5

💙 PayPal (custom)☕ Coffee ($5+)

Frequently asked questions

Does DebugClip send my error data to external servers?

No. All error capture and prompt compilation happens locally in your browser. The only optional network call is license key validation for Pro users. Your page data never leaves your machine.

How do I fix 'TypeError: Cannot read properties of undefined'?

This common React/JS error means you're accessing a property on a null or undefined value. DebugClip captures the full stack trace showing exactly which line and variable caused it — then sends that context to Claude/ChatGPT for an instant explanation and fix.

Does it work on localhost?

Yes. DebugClip works on any website — localhost, staging servers, production apps, even file:// URLs (with permission). No configuration needed.

How do I fix 'CORS error' or 'net::ERR_FAILED'?

Network errors are captured with full request/response details including headers and status codes. DebugClip formats this into a prompt that gives the AI enough context to diagnose your CORS configuration or network issue immediately.

What LLMs are supported?

Currently Claude (claude.ai) and ChatGPT (chatgpt.com). The free tier lets you copy prompts to any AI. The Pro tier auto-injects prompts directly into Claude or ChatGPT's input field.

Is my API key safe?

API keys are stored locally in chrome.storage.local on your device only. They are never transmitted to DebugClip servers — only directly to the LLM provider you choose (Anthropic or OpenAI).

How do I fix '404 Not Found' API errors?

DebugClip captures the full URL, request method, headers, and response body of failed API calls. The compiled prompt includes all this context so the AI can tell you exactly why your endpoint is returning 404.

Stop wasting time on manual debugging

Join thousands of developers who debug faster with AI. Install DebugClip in 10 seconds.

Add to Chrome — It's Free