Passenger Showcase and Building a Creative Coding AI Agent? | Summary and Q&A

TL;DR

Create a Visual Studio Code extension named Bizarro Devin to simulate an AI coding agent that automatically writes code.

Key Insights

• 👨‍💻 The Bizarro Devin project aims to create an AI coding agent that writes code in Visual Studio Code.
• 👨‍💻 The Visual Studio Code extension allows for the auto-insertion of code and a live preview of the code.
• ❓ On-device ML models like LAMA and Transformers JS are potential options for the AI agent's training and inference.

Transcript

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Questions & Answers

Q: What is the purpose of the Bizarro Devin Visual Studio Code extension?

The purpose is to simulate an AI coding agent that automatically writes code in Visual Studio Code, providing entertainment and exploration of creative coding.

Q: How does the extension currently work?

The extension can auto-insert code into a text file and show a live preview of the code. It is a basic implementation of the functionality needed for the Bizarro Devin AI agent.

Q: What other features are planned for the extension?

Planned features include narration of the coding process, handling of errors, interaction with code comments, retrieval of examples from the Nature of Code book or coding train challenges, and the ability to interpret and analyze visual elements like the canvas.

Q: How might the Bizarro Devin project be improved in the future?

The project could benefit from the development of a custom ML model and the fine-tuning and training of the AI agent to better fit the coding train style. Additional features like multi-modal capabilities, better code editing, and a more interactive user experience could also be implemented.

Summary & Key Takeaways

• Created a new Visual Studio Code extension named Bizarro Devin to simulate an AI coding agent.

• Added functionality to auto-insert code into a text file and run a live preview of the code.

• Explored the possibility of using on-device ML models to fine-tune and train the AI agent.

• Planned to implement features such as narration, error handling, and interaction with the code.