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Static Analysis meets Large Language Models

autofix 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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**Active development on this project has now moved to [Patchwork](https://github.com/patched-codes/patchwork). Patchwork is a more generic framework that combines tools and LLMs in agentic workflows for software development.**

# AutoFix

Static Analysis + LLM = AutoFix

_Note: If you are looking for a cloud service for vulnerability remediation, please try [patched](https://www.patched.codes/)._

- The new [StarCoder](https://huggingface.co/bigcode/starcoderbase-1b) model is now supported. Pass `--model bigcode/starcoderbase-1b` to AutoFix to try the 1B parameter base model.

- We now support using the [CodeGen2](https://github.com/salesforce/CodeGen2) model from Salesforce. Just use `--model Salesforce/codegen2-1B` with AutoFix. Note that the inference on CPU with `CodeGen2` is very slow compared to `SantaFixer`.

In the initial release, we used Semgrep for doing static analysis and the [SantaFixer](https://huggingface.co/lambdasec/santafixer) LLM for bug fixing.

## Setup

```
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
```

## Usage

```
python autofix.py --input examples/example.java
```

## Demo

![](https://github.com/lambdasec/autofix/blob/main/demo.gif)

## How it works?
![](https://github.com/lambdasec/autofix/blob/main/howitworks.png)

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