DebugPrompt

DebugPrompt is an open-source directory where developers share and discover AI debugging prompts. Whether you're tracing data flows, diagnosing errors, or comparing approaches, DebugPrompt helps you debug smarter.

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Features

• 🛠️ Curated debugging prompts for AI-powered coding
• 📂 Organized by categories: Error Diagnosis, Data Flow Tracing, Pseudocode Analysis, and more
• 🌐 Open-source and community-driven
• 🎥 Learn section with developer tutorials
• 🖥️ Futuristic, minimalistic UI with dark theme

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Contribute

Submit a New Prompt

1. Fork this repository.
2. Add your prompt to data/prompts.json following the template below.
3. Use the template below:

   {
     "id": "last id + 1",
     "category": "Category",
     "tags": ["tag1", "tag2"],
     "prompt": "Your debugging prompt here...",
     "author": {
       "github": "https://github.com/yourusername"
     }
   }

4. Submit a pull request with the title [Prompt] Your Prompt Title.

Submit a Prompt →

Categories Overview

Category	Description
Error Diagnosis	Identifying why an error occurs, highlighting root causes and solutions.
Data Flow Tracing	Tracking how data moves through the system by highlighting components and interactions.
Approach Comparison	Evaluating different methods to solve a problem, noting trade-offs like efficiency and readability.
Pseudocode Analysis	Converting logic into structured steps, focusing on identifying gaps and edge cases.
Assumption Testing	Validating hypotheses about bugs through rigorous testing and verification.
Refactoring	Improving code structure without changing functionality, emphasizing clean code and maintainability.
Performance Tuning	Optimizing speed and resource usage by addressing bottlenecks and efficiency improvements.
Prompt Iteration	Refining prompts for better AI responses, focusing on clarity and specificity.
Test Generation	Creating tests to cover various scenarios through automated checks and edge case consideration.
Environment Debugging	Fixing setup and configuration issues to ensure compatibility across environments.
Security Analysis	Identifying vulnerabilities and protecting the system against threats.
Edge Case Handling	Managing unexpected inputs with a focus on robustness and validation.
Logic Breakdown	Dissecting complex algorithms to understand components and flow.
Dependency Debugging	Resolving issues with third-party dependencies including conflicts and compatibility problems.
Code Optimization	Enhancing efficiency and readability using best practices and design patterns.

These categories map to the entire debugging lifecycle – from detecting issues (Error Diagnosis) to preventing recurrence (Test Generation). They reflect modern challenges like AI hallucination mitigation (Prompt Iteration) and dependency hell resolution (Dependency Debugging).

Submit a Learning Video

1. Fork this repository.
2. Edit the videos array in app/learn/page.tsx.
3. Add your video using the template below:

   {
     id: "last id + 1",
     title: "Your Video Title",
     videoId: "YOUR_YOUTUBE_VIDEO_ID",
     author: {
       name: "Your Name",
     },
     description:
       "A brief description of your video (keep it concise).",
   }

   Note: The videoId can be found in your YouTube URL (e.g., for https://youtube.com/watch?v=ABC123, the ID is ABC123)
4. Submit a pull request with the title [Learn] Your Video Title.

Submit a Video →

Advertise on DebugPrompt

We offer ad spaces to approved advertisers. To submit an ad:

1. Fork this repository.
2. Create a new JSON file in ads/your-company-name.json.
3. Use the template below:

   {
     "company": "Your Company Name",
     "logo": "https://yourdomain.com/logo.png",
     "title": "Your Ad Title",
     "description": "Your ad description (max 100 characters).",
     "link": "https://yourdomain.com"
   }

4. Submit a pull request with the title [Ad] Your Company Name.
5. Pay for your ad via our Stripe Payment Link. You will be redirected to a form to fill in your details. Once approved your add will be added to the ads.json file.

Submit an approved Ad →

Development

Clone the repo:

git clone https://github.com/richardsondx/debugprompt.git

Install dependencies:

npm install

Run the development server:

npm run dev

Env variables (create a .env.local file):

UPSTASH_REDIS_REST_URL=https://your-url.upstash.io
UPSTASH_REDIS_REST_TOKEN=your-token

We use this for counting the copies on prompts.

License

MIT License. See LICENSE for details.

Built by Richardson Dackam • Follow me on X