Build an ENTIRE codebase in 5 mins with Smol AI

Build an ENTIRE codebase in 5 mins with Smol AI

Table of Contents

1. Introduction
2. What is Small AI?
3. How does Small AI work?
4. Setting up Small AI
5. Getting the product requirements
6. Running Small AI
7. Debugging with Small AI
8. Pros of Small AI
9. Cons of Small AI
10. Future possibilities with Small AI
11. Conclusion

Introduction

In this article, we will explore the world of Small AI, a revolutionary project that is making waves in the AI community. We will discuss what Small AI is, how it works, and how you can set it up to benefit from its capabilities. We will also delve into the process of getting the product requirements, running Small AI, and debugging the generated code. Finally, we will evaluate the pros and cons of Small AI and ponder on the future possibilities it holds. So, let's dive into the fascinating world of Small AI!

What is Small AI?

Small AI is an AI-powered tool that codes for you. Unlike other code generation tools, Small AI can build out entire codebases for even the most complex applications. It's like having a whole engineering team in your pocket. You can simply provide the product requirements, and Small AI generates the architecture, files, and dependencies required to build the app. It is incredibly powerful and has gained immense popularity in a short period.

How does Small AI work?

The working of Small AI is quite straightforward. It follows a simple process. First, the product requirements are passed into a prompt. This prompt generates the architecture of the app and determines the necessary files. Then, another prompt takes this list of files and the original requirements to generate a list of dependencies. These dependencies help the AI understand the functions and variables in different files. Finally, a loop is run where the product requirements, architecture, and dependencies are passed to a prompt that writes the code for each file. However, it is worth noting that Small AI is still in its early stages and may produce code that requires modifications to run properly.

Setting up Small AI

To set up Small AI, you need to clone the repository from GitHub to your local machine. Then, open the folder in your preferred development environment and rename the .env file to .env.local. In the .env.local file, add your OpenAI API key. Lastly, install Model and its dependencies, which is a cloud computing platform where Small AI will run.

Getting the product requirements

To ensure Small AI generates the desired results, it is vital to provide detailed product requirements. You can write these requirements yourself or utilize the assistance of chatGPT, an AI language model, to help you create a comprehensive product requirement document (PRD). By including core functionalities, interface descriptions, and file structure, you can improve the accuracy of Small AI's code generation. Save the PRD in an MD file for easy updates.

Running Small AI

After setting up Small AI and preparing the PRD, you can run Small AI by executing the command python main.py prompt prd.md in the terminal. While generating the code, Small AI might exceed the rate limit of OpenAI's API, resulting in errors. However, with a modified version of the code, introduced by Anubis AI, you can overcome this limitation. Copy and paste the modified code to ensure smooth execution.

Debugging with Small AI

Small AI not only generates code but also provides a way to debug it. By running the command python -m debugpy --listen 5678 main.py prompt debug.md, you can analyze potential errors and receive suggestions for fixing them. This debugging process is akin to having engineering assistance at your fingertips.

Pros of Small AI

Small AI offers several advantages. Firstly, it automates code generation, saving time and effort for developers. Secondly, it allows product designers and managers to quickly prototype and test ideas at a minimal cost. Additionally, with Small AI's debugging capabilities, it becomes easier to identify and fix errors in the generated code.

Cons of Small AI

Although Small AI is a remarkable tool, it does come with some limitations. The generated code may require modifications to run correctly, and at times, Small AI struggles to produce complex apps without manual adjustments. Therefore, Small AI cannot entirely replace human engineers in its current state.

Future possibilities with Small AI

The potential of Small AI extends beyond its current capabilities. As AI continues to evolve, we may witness the emergence of an entire AI product team consisting of product managers, designers, and engineers. This team could autonomously handle multiple experiments and create innovative apps. The future of Small AI holds endless possibilities.

Conclusion

Small AI has undoubtedly pushed the boundaries of code generation, offering an automated solution for building apps. It streamlines the development process and empowers product designers and managers with quick prototyping capabilities. While it may not completely replace human engineers, it highlights the potential for incorporating AI into product development teams. As Small AI continues to mature, we eagerly await the exciting apps and breakthroughs it will bring. Embrace the power of Small AI and unlock a new era of app development.

Highlights

• Small AI is an AI-powered tool that automates code generation.
• It can build entire codebases for complex applications.
• Setting up Small AI requires cloning the repository, adding API key, and installing Model.
• Detailed product requirements enhance the accuracy of code generation.
• Running Small AI may require a modified code to overcome rate limits.
• Small AI provides debugging capabilities, helping identify and fix errors.
• Pros of Small AI include time and effort savings, quick prototyping, and debugging assistance.
• Cons of Small AI include the need for code modifications and limitations with complex apps.
• The future of Small AI could see the emergence of AI-powered product development teams.
• Small AI revolutionizes app development, bringing automation and innovation to the forefront.

FAQ

Q: Can Small AI replace human engineers? A: While Small AI is a powerful tool, it is not capable of completely replacing human engineers. Manual adjustments and modifications are often required to ensure proper functionality.

Q: How long does Small AI take to generate code? A: The code generation process in Small AI can vary in duration. Simple apps may be generated quickly, while complex apps can take up to 40 minutes or more.

Q: Can Small AI debug the generated code? A: Yes, Small AI provides debugging capabilities. By utilizing the debugger, errors and issues in the generated code can be identified and resolved.

Q: What are some advantages of using Small AI? A: Small AI offers time savings, automated code generation, quick prototyping capabilities, and assistance with debugging.

Q: What are some limitations of Small AI? A: Small AI may produce code that requires modifications to run correctly. It may also struggle with generating complex apps without some manual adjustments.