Repository History

4 repositories tagged with software-engineering

Topic: software-engineering
mini-swe-agent: The Minimal AI Agent for Solving GitHub Issues

mini-swe-agent: The Minimal AI Agent for Solving GitHub Issues

mini-swe-agent is a remarkably simple yet powerful AI agent, comprising just 100 lines of Python code. It's designed to solve GitHub issues and assist in command-line tasks, achieving over 74% on the SWE-bench verified benchmark. This project offers a radically simple approach to AI-driven software engineering, avoiding complex configurations and large monorepos.

Analyzed Mar 18, 2026
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Agentless: An Agentless Approach to Solve Software Development Problems

Agentless: An Agentless Approach to Solve Software Development Problems

Agentless is an innovative open-source project that offers an agentless approach to automatically solve software development problems. It streamlines the bug-fixing process through localization, repair, and patch validation phases. This tool aims to enhance efficiency in addressing software issues, particularly demonstrated by its performance on benchmarks like SWE-bench lite.

Analyzed Dec 23, 2025
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Trae Agent: An LLM-Based Agent for General Software Engineering Tasks

Trae Agent: An LLM-Based Agent for General Software Engineering Tasks

Trae Agent is an LLM-based agent designed for general-purpose software engineering tasks, offering a powerful CLI interface that understands natural language instructions. It enables complex software engineering workflows using various tools and LLM providers, featuring a transparent, modular, and research-friendly architecture. This project is ideal for studying AI agent architectures and developing novel agent capabilities.

Analyzed Nov 30, 2025
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SWE-agent: Automating Software Engineering with Language Models

SWE-agent: Automating Software Engineering with Language Models

SWE-agent is an innovative GitHub repository that empowers language models to autonomously fix issues in real-world software projects. This powerful tool can also be employed for offensive cybersecurity and competitive coding challenges, representing a significant advancement in automated software engineering. Developed by researchers from Princeton and Stanford, it was featured at NeurIPS 2024.

Analyzed Oct 18, 2025
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