This repository offers a comprehensive collection of prompts used in leading AI agents, including Devin, Cursor, and Replit Agent. It serves as a valuable resource for AI developers and researchers seeking to understand and replicate the prompt engineering techniques behind advanced AI tools, enabling them to build more sophisticated and context-aware agents.

How It Works

The project curates over 7,000 lines of prompts from various prominent AI agents. By studying these prompts, users can gain insights into the underlying design and functionality of these agents, facilitating the improvement and creation of their own intelligent agents.

Quick Start & Requirements

• Install: No installation required; prompts are directly accessible within the repository.
• Prerequisites: Basic understanding of AI agents and prompt engineering.
• Resources: Minimal; requires a text editor or browser to view prompt files.
• Further Learning: A free course is offered to guide users in building their own AI agents, covering Python fundamentals, LangChain, and data integration from websites, PDFs, and YouTube videos. Access Free Course (Note: Link is illustrative as no actual link was provided in the README).

Highlighted Details

• Contains prompts for over 10 major AI agents, including Devin, Cursor, and Replit Agent.
• Over 7,000 lines of prompt examples are provided.
• Aims to provide insights into the creation of advanced AI agents.
• Offers a free course for practical AI agent development.

Maintenance & Community

No specific information on contributors, sponsorships, or community channels (like Discord/Slack) is available in the provided README.

Licensing & Compatibility

The README does not specify a license. Users should exercise caution regarding usage, especially for commercial or closed-source applications, until a license is clarified.

Limitations & Caveats

The repository lacks explicit licensing information, which may pose a risk for commercial use. There is also no indication of versioning or a formal maintenance schedule.