SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
-
Updated
Nov 11, 2025 - Python
SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
🎨 Discover and execute over 200 AI patterns with Fabric Atelier, a fast MCP server built in Rust and Apache Arrow for seamless integration in AI assistants.
🤖 Generate code and tests for multiple languages using AI with this Python command-line tool, streamlining your development process efficiently.
🔍 Build powerful machine learning models effortlessly with Ruaroa AI, your zero-code solution for accessible AI development and deployment.
📊 Fetch crypto data, compute indicators, and run backtests easily with this Python toolbox designed for efficient cryptocurrency analysis.
Database approach for generating near-roofline Einstein Summation kernels.
🌐 Benchmark models using the PRISM framework and access the FLUX-Reason-6M dataset for improved AI performance evaluation.
🚀 Transform existing codebases into MCP services with ease using Code2MCP's intelligent automation and minimal intrusion design.
🧠 Enhance visual search with Mini-o3, providing state-of-the-art multi-turn reasoning and easy-to-use training code for advanced AI applications.
🛠️ Generate AI training datasets easily, transforming complex information from documents into structured data for model fine-tuning.
🤖 Generate AI-driven diagrams and prototypes in draw.io and HTML formats, tailored to your requirements with advanced language model integration.
🔍 Streamline token sampling with character prefix conditioning using a DFA-inspired, trie-based algorithm for precise prefix matching.
🤖 Generate tailored AI training datasets quickly and easily, transforming your domain knowledge into essential training data for model fine-tuning.
🚀 Maximize your C# productivity with advanced techniques in strings, LINQ, and clean code, inspired by the book "Produtivo com C#."
MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration in Complex Task Scenarios
Demo RAG API (FastAPI, OpenAI, ChromaDB, Docker) automatically generated using the OpenAI Codex CLI tool. Highlights Codex's capability for rapid, complex application development.
DSL and compiler framework for automated finite-differences and stencil computation
L2M: Multi-agent code modernization engine that runs in your terminal
Calculate (Finnish: laskea) some parts.
Add a description, image, and links to the code-generation topic page so that developers can more easily learn about it.
To associate your repository with the code-generation topic, visit your repo's landing page and select "manage topics."