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DebugClip Review

DebugClip is a browser extension for developers that captures console errors, network requests, and security violations, formatting them into structured prompts for AI models like Claude and ChatGPT.

shipped Aug 15, 2026paid
DebugClip — product screenshot

Why it matters

1DebugClip offers a 'Free forever' tier and a 'Pro for $4' plan, with a 'Ultimate for $19' option.
2It captures console errors, warnings, and network failures from Chrome DevTools without requiring DevTools to be open.
3The tool formats captured debugging telemetry into token-dense Markdown prompts optimized for LLMs.
4DebugClip supports integrations with Claude, ChatGPT, Gemini, DeepSeek, and Copilot.

About DebugClip

Business Model
Hybrid (Subscription + Usage)
Platforms
Chrome, Edge, Firefox, Safari (coming soon)
Target Audience
Developers looking for efficient debugging tools.

Pricing Plans

Free
$0
  • • Full error & network capture
  • • Badge error counter
  • • View all captured errors
  • • Prompt preview (blurred)
Pro
$4 / lifetime
  • • Everything in Free
  • • Unlimited usage
  • • Send to Claude, ChatGPT, Gemini, DeepSeek, Copilot
  • • Auto-inject prompt into LLM input
Ultimate
$19 / lifetime
  • • Everything in Pro
  • • AI answers directly in the popup (BYOK)
  • • No tab switching, error to fix in 3 seconds
  • • MCP server for AI agents (Cursor, Kiro)
GitHub

overview

What is DebugClip?

DebugClip is an AI debugging copilot tool developed by Oussama ZBAIR that enables developers to streamline the debugging process by automating the capture and formatting of debugging information. It captures console errors, network requests, and security violations from any webpage, presenting them in a dashboard with one-click AI analysis.

features

Key Features of DebugClip

DebugClip provides a suite of features designed to enhance the debugging workflow for web developers, focusing on automated error capture and AI-assisted analysis.

  • Captures console errors, warnings, unhandled rejections, and failed network requests (fetch/XHR).
  • Formats captured debugging telemetry, including stack traces, request/response payloads, and headers, into structured Markdown prompts.
  • Offers one-click AI analysis of captured errors, directly integrating with LLMs like Claude and ChatGPT.
  • Works on any website, including localhost, staging, and production environments, without requiring configuration.
  • Processes data locally within the browser, ensuring privacy with no data leaving the browser until sent to a chosen LLM provider.
  • Presents captured errors in a dashboard for easy review and interaction.
  • Supports auto-injection of structured prompts into Claude or ChatGPT's input field (Pro tier).

use cases

Who Should Use DebugClip?

DebugClip is primarily designed for developers and web developers who frequently use Chrome DevTools for debugging and seek to integrate AI assistance into their error analysis workflow.

  • Developers capturing console errors, warnings, and network failures from Chrome DevTools for faster diagnosis.
  • Web developers seeking one-click AI analysis of debugging telemetry to reduce manual effort.
  • Anyone needing to format captured errors into structured prompts for various LLMs (e.g., Claude, ChatGPT, Gemini).
  • Developers diagnosing CORS configuration and network issues across different environments.
  • Teams debugging on localhost, staging, and production environments without complex setup.

how to use

How to Use DebugClip

To begin using DebugClip, install the browser extension from the Chrome Web Store or Edge Add-ons. Once installed, it automatically starts capturing debugging information from webpages.

  • 1Install the DebugClip extension from the Chrome Web Store or Edge Add-ons.
  • 2Navigate to any webpage where debugging is required (localhost, staging, or production).
  • 3DebugClip automatically captures console errors, warnings, and network failures in the background.
  • 4Access the DebugClip dashboard to view captured telemetry.
  • 5Select an error and use the one-click AI analysis feature to generate a structured prompt for your chosen LLM (e.g., Claude, ChatGPT).
  • 6Review the AI-generated explanation or suggested fix for the error.

pricing

DebugClip Pricing & Plans

DebugClip offers a hybrid pricing model, including a free tier and two paid lifetime options. The paid tiers provide enhanced functionality, such as direct prompt injection into AI models.

  • Free: $0 – Provides core error capture and prompt generation, requiring manual copying of prompts.
  • Pro: $4 (one-time payment) – Includes all Free features plus auto-injection of structured prompts directly into Claude or ChatGPT's input field.
  • Ultimate: $19 (one-time payment) – Includes all Pro features, with additional unspecified benefits.

Pros

  • +Automates the capture of console errors, network requests, and security violations, eliminating manual copying and pasting.
  • +Formats debugging telemetry into structured, token-dense Markdown prompts optimized for LLMs like Claude and ChatGPT.
  • +Offers one-click AI analysis of captured errors, streamlining the diagnostic process.
  • +Functions on any website (localhost, staging, production) without requiring additional configuration.
  • +Processes data locally within the browser, ensuring privacy as data is only sent to the chosen LLM provider.
  • +Provides a 'Free forever' tier and affordable one-time payment options for Pro and Ultimate versions.

Cons

  • −User reception is mixed, with a 'very low trust score' reported by ScamAdviser for the website, raising concerns about legitimacy.
  • −Lacks detailed user testimonials or reviews from reputable sources like Reddit, G2, or Product Hunt.
  • −Does not offer deep IDE integration for real-time code analysis and fixes, unlike some competitors.
  • −Currently limited to Chrome and Edge, with Firefox and Safari support planned but not yet available.
  • −The 'Ultimate' tier's additional benefits beyond the 'Pro' tier are not explicitly detailed.

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GitHubgithub.com/oussama-zbair/DebugClip