XCodeReviewer 是一款基于大语言模型（LLM）的智能审计工具，支持 GPT、Claude、Gemini、通义千问、DeepSeek、Ollama 等十余主流 AI 模型。它能够自动检测代码中的安全漏洞、性能问题和代码异味，显著提升代码质量与安全性。XCodeReviewer 支持 GitHub/GitLab 集成，可无缝嵌入 CI/CD 流程，实现自动化代码审查与持续安全保障，同时兼容十多种编程语言，满足多样化项目需求。

• UpdatedNov 3, 2025
• TypeScript

Detect concurrency and memory bugs and possible panic locations in Rust projects

• UpdatedOct 21, 2025
• Rust

A Tool for clone detection and bug detection in smart contracts

• UpdatedMay 13, 2023
• JavaScript

• UpdatedJul 17, 2025
• Python

An automatic API misuse checker for C programs!

• UpdatedApr 3, 2019
• Python

• UpdatedAug 4, 2023
• C++

Bug detection and fixing using prompt engineering and fine-tuning with Llama 3 and a custom mutation-based dataset. Includes a user-friendly interface and performance evaluation metrics.

• UpdatedFeb 2, 2025
• Jupyter Notebook

Code of our paper "Method-Level Bug Severity Prediction using Source Code Metrics and LLMs" which is accepted to ISSRE 2023.

• UpdatedNov 12, 2023
• Java

Bug detection and repair algorithm

• UpdatedDec 21, 2023
• Jupyter Notebook

Deep learning project to detect logic bugs in source code.

• UpdatedFeb 23, 2019
• Jupyter Notebook

Bug detectors for Golang

• UpdatedAug 8, 2023
• Go

Deep learning-based bug detector for IntelliJ

• UpdatedMay 28, 2020
• Kotlin

A graph based bug classifier using the dgl library and DeepBugs dataset

• UpdatedApr 24, 2021
• Python

Python package to predict bugs using the complexity of code changes

• UpdatedJun 18, 2021
• Python

An attempt at detecting SStuBs using a pre-trained transformer and repairing them with a seq2seq model.

• UpdatedJul 25, 2024
• Python

Generate more realistic mutations with contextual mutants

• UpdatedJan 20, 2022
• Python

A bug detector based on call graphs and invariant inference

• UpdatedMay 25, 2025
• C++

Machine Learning Project for Bug Detection in Python using traditional machine learning algorithms

• UpdatedJan 10, 2024
• Jupyter Notebook

The AI Developer's Assistant aims to enhance developer productivity by analyzing code snippets, identifying bugs, suggesting optimizations, generating unit tests, and debugging log files.

• UpdatedApr 2, 2025
• Python

This project uses Natural Language Processing (NLP) and Machine Learning techniques to analyze user reviews of top-selling games on the Steam platform. The goal is to detect bug-related reviews using keyword filtering, assess user sentiment (positive, neutral, negative), and group similar games using clustering methods.

• UpdatedJun 5, 2025
• Jupyter Notebook