automated-debugging

Project page for "The Debugging Book"

基于 AI Agent 服务自动化修复系统：Agent 自动读取错误日志，定位 Bug，生成补丁，运行测试，提交 PR，并通知开发者 Review。AI-powered auto-fix agent for web services: analyzes logs, patches code, runs tests, and creates pull requests automatically.

BigDebug: Debugging Primitives for Interactive Big Data Processing in Spark (ICSE 2016)

Self-healing code reasoning engine. Detective → QA → Patcher closed loop on SWE-bench, with an RL layer that turns every reasoning trace into DPO training data.

Framework-aware code intelligence for LLM agents. Indexes Java, Python, TypeScript, Go, Scala into a verified call graph via tree-sitter + Rust. MCP server, Haiku sub-agent, and git hooks included. 68–95% agent token reduction.

A multi-agent forensic audit engine for Infineon SmartRDI hardware code using LangGraph. Features an adversarial "Critic Layer" for hallucination-free bug detection, automated C++ remediation, and GTest generation.

CodeMind AI is an advanced full-stack platform for automated code reviews, syntax evaluation, and bug detection. Acting as an intelligent virtual pair programmer, it delivers real-time code optimization, logic analysis, and automated vulnerability tracking to streamline workflows.

An experimental toolkit that transforms natural language prompts into production-ready Python applications. Features automated coding, testing, debugging, and documentation generation using DeepSeek AI. Supports both single-process and parallel multi-process execution for efficient solution discovery.

Autonomous AI Code Repair Agent. Finds crashes, compiles code, and fixes bugs in real-time for Python, Rust, Go, & C++.

Source code for the Klyve Software Development Factory.

A provider-agnostic coding-agent harness for autonomous Python repository bug repair, with Docker verification and reproducible evaluation.

面向 Python/pytest CI 失败诊断与自动修复的 Coding Agent，集成 Qdrant 代码语义检索、DeepSeek、请求级预算控制与可复现 Benchmark。

A multi-agent system that navigates ML repositories, reproduces reported results, and repairs failures in isolated environments.

Automated Debugging in Data-Intensive Scalable Computing (SoCC 2017)

This repository contains exercises from CISPA Helmholtz Center for Information Security to implement a debugger from scratch using Python.

Influence-Based Provenance for Dataflow Applications with Taint Propagation (SoCC 2020)

CLI-based Automated Debugging Agent that detects runtime errors, applies fixes, and re-executes programs across multiple languages.

Autonomous AI agent that writes, executes, debugs, and tests Python & SQL code — built with LangGraph, Groq, and LangChain. Zero manual intervention.

Autonomous AI engine that detects failing PR tests, diagnoses bugs, generates verified patches, and safely heals code in an isolated sandbox.