Repository History
6 repositories tagged with software-engineering
Coding Interview University: Your Comprehensive Plan to Become a Software Engineer
The "Coding Interview University" repository is a highly popular GitHub resource offering a complete computer science study plan designed to help aspiring software engineers. It covers essential topics from data structures and algorithms to system design, preparing users for technical interviews at top tech companies. This extensive guide, created by a former Amazon SDE, provides a structured path to mastering the fundamentals required for a successful career in software engineering.
Leetcode Patterns: A Pattern-Based Approach to Technical Interview Prep
Leetcode Patterns is a highly-starred GitHub repository offering a structured, pattern-based approach to mastering technical interview questions. It helps individuals improve problem-solving skills by grouping LeetCode problems under specific subtopics, allowing for focused practice and application of common algorithms and data structures.
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.
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.
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.
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.