Rapid Code Mutation and Improvement
Code That Can Improve Itself
pip install socra
We're currently building an open-source system that enables rapid code mutation and improvement on any codebase directly from the command line, uti
### Code That Can Improve Itself
pip install socra
We're currently building an open-source system that enables rapid code mutation and improvement on any codebase directly from the command line, utilizing large language models (LLMs) and other AI application techniques.
Unlike other LLM-based approaches to software development, `socra` enhances your code without the need to use a web app, install a new editor, or rely on any other cumbersome interface. Code is mutated directly from the command line, allowing you to use your favorite tools for the human aspects of software development.
`socra` aims to be an essential command line tool, as useful as your favorite version control system or native terminal commands.
## Motivation
### Biological Mutations
In biology, genetic mutation is the ultimate source of all genetic variation and serves as the substrate on which evolution and natural selection operate. Most mutations are relatively small compared to the overall genome of an organism and may be beneficial, neutral, or harmful to the organism in a particular environment.
Selection pressure provides a probabilistic feedback mechanism for mutations that offer some benefit to an organism, allowing them to persist over time. Therefore, over many iterations, genetic mutations that provide advantages in a specific environment tend to endure.
Through this process, genetic lineages form and give rise to Earth's numerous species, each with its own unique genetic code and adaptations.
### Current State of Software
There is **quite a lot of code** existing in the world, much of which is quickly becoming dead weight and useless. Engineers typically love building new things but rarely enjoy maintaining software for decades.
Here are some interesting statistics about code repositories:
- Top open-source projects can have over 10,000 distinct contributors.
- GitHub reported having more than 420 million repositories in 2023.
- Many code repositories contain 1 million or more lines of code.
- [Insert additional statistics or examples here to illustrate the "dead weight" concept of unused code more vividly.]
### socra as an Intelligent Replicator
With this biological and market backdrop, let's draw some comparisons to software code. Until now, helpful mutations to code have generally fallen into the following categories:
1. **Human**: (hopefully) intelligent human actors aiming to improve or add functionality to a project they have a vested interest in, utilizing various tools to ease the development process (text editors, extensions, conversational chatbots).
2. **Deterministic Bot**: Bots designed to make deterministic mutations. For example, a bot that automatically updates project dependencies, formats and lints code, or runs tests. There are also other methods of mutating code, such as changing characters at random, but these types of changes are rarely productive and usually introduce errors and break code.
This project aims to introduce the following **third** method for generating helpful code mutations:
3. **socra**: Random (or targeted) intelligent code mutations introduced entirely by AI and verified only by humans.
### Correlations with AGI
Random mutations in software can mirror the evolutionary process in biological systems. Just as genetic mutations introduce variation in organisms, allowing them to adapt and evolve, random code mutations can lead to improved functionality and performance in software systems.
The feedback loop in AGI can be enhanced by this process, where successful mutations are retained and ineffective ones are discarded—similar to natural selection. By integrating a mechanism that evaluates the effectiveness of code changes, we can create a more adaptive and resilient software environment that evolves over time.
## Project Links
- Github Project: [https://github.com/socra/socra-python](https://github.com/socra/socra-python)By Eduarda Ferreira