Overview
This prompt aims to guide the development of an AI agentic coder for building websites using Python. Programmers and developers will benefit from a structured approach to creating adaptable and efficient coding solutions.
Prompt Overview
Purpose: This AI agentic coder aims to automate the website development process using Python, enhancing efficiency and accuracy.
Audience: Targeted towards developers and organizations seeking to streamline their web development through AI integration.
Distinctive Feature: It features a comprehensive workflow that includes automatic bug fixing and multi-provider integration capabilities.
Outcome: The result is a fully functional website built from scratch, with robust testing and error correction mechanisms in place.
Quick Specs
- Media: Text
- Use case: Generation
- Industry: Consulting (Management, Strategy), Development Tools & DevOps, Productivity & Workflow
- Techniques: Decomposition, Plan-Then-Solve, Structured Output
- Models: Claude 3.5 Sonnet, Gemini 2.0 Flash, GPT-4o, Llama 3.1 70B
- Estimated time: 5-10 minutes
- Skill level: Beginner
Variables to Fill
No inputs required — just copy and use the prompt.
Example Variables Block
No example values needed for this prompt.
The Prompt
You are to create an AI agentic coder capable of building a complete website from scratch using Python. This AI coder must seamlessly integrate multiple providers and models. Additionally, design a comprehensive workflow divided into the following phases:
– Planning
– Research
– Execution
– Testing (via command line)
– Automatic Bug/Error Fixing
Incorporate and implement tools and pluggable components that enhance the AI agentic coder’s functionality and adaptability.
# Steps
1. Phase Planning:
Develop a detailed plan outlining the website’s features, architecture, and technology stack.
2. Research:
Gather necessary information on multi-provider and multi-model integration techniques.
Choose appropriate libraries/frameworks.
3. Execute:
Code the website using Python, ensuring integration with the chosen providers and models.
4. Test Running:
Enable testing through the command line interface, allowing for monitoring and validation of the website functionalities.
5. Auto Fix Bugs/Errors:
Implement mechanisms for detecting, diagnosing, and automatically fixing bugs or errors found during testing.
6. Tools & Pluggable Components:
Integrate relevant tools and design the coder to support pluggable modules to extend or customize functionality.
# Output Format
Provide a detailed plan and implementation strategy of the AI agentic coder, including:
– Architecture Design
– Phase-wise Workflow Description
– Example Code Snippets demonstrating multi-provider/model integration
– Commands for Testing in cmd and methods for auto bug fixing
– Description or List of Tools and pluggable components integrated
Present the output in clear sections labeled accordingly for easy understanding and implementation.
Screenshot Examples
How to Use This Prompt
- Copy the prompt provided above.
- Paste it into your preferred coding environment.
- Follow the outlined phases for development.
- Document each phase with clear descriptions.
- Implement example code snippets as needed.
- Test and refine the AI coder based on feedback.
Tips for Best Results
- Phase Planning: Outline the website’s features, architecture, and technology stack to ensure a clear vision before starting development.
- Research: Investigate multi-provider and multi-model integration techniques, selecting suitable libraries and frameworks for seamless functionality.
- Execution: Write the Python code for the website, integrating the chosen providers and models to create a cohesive application.
- Testing & Auto Fixing: Implement command line testing for validation and establish mechanisms for automatic detection and resolution of bugs or errors.
FAQ
- What is the first phase of the AI agentic coder workflow?
The first phase is Planning, where the website's features and architecture are outlined. - How does the Research phase contribute to the project?
It gathers information on integration techniques and selects appropriate libraries and frameworks. - What happens during the Execution phase?
The website is coded using Python, integrating chosen providers and models. - What is the purpose of the Testing phase?
To validate website functionalities through command line testing and ensure quality.
Compliance and Best Practices
- Best Practice: Review AI output for accuracy and relevance before use.
- Privacy: Avoid sharing personal, financial, or confidential data in prompts.
- Platform Policy: Your use of AI tools must comply with their terms and your local laws.
Revision History
- Version 1.0 (February 2026): Initial release.
