Open-source Next.js template for building apps that are fully generated by AI. By E2B.
A curated list of AI-powered coding tools
AI Coding assistant for large and complex codebases.
CodeWhisper: AI-Powered End-to-End Task Implementation & blazingly fast Codebase-to-LLM Context Bridge
👩💻 MCP server to index external repositories
UnityGen AI is an AI-powered code generation plugin for Unity. It allows you to quickly generate and save code directly within the Unity editor.
Turn Neovim into an AI code editor
Carrot auto-writes specs and catches AI code drift. MCP server for Cursor that AST-validates every commit.
Devseek.ai is an AI-powered SaaS platform that completely automates the software development lifecycle (SDLC)—from ideation to deployment—without requiring human developers. It replaces software engineers with AI agents that write code, test applications, fix bugs, and generate documentation, delivering a fully functional, production-ready app.
Create new Java applications by describing what it needs to do in text
Connectors for Java Comment Preprocessor (JCP) to work with LLM clients
🛡️ AI-powered vulnerability scanner that automatically detects, analyzes, and fixes security issues in npm packages with intelligent code transformations. Supports GitHub Actions, CLI, Docker, and VS Code integration with Microsoft Teams notifications.
Codeverse is a collaborative coding platform with real-time code sharing, video calls, chat, and AI-powered assistance. Users can write, run, and export code in multiple languages, customize the editor with themes, and get coding help from Codeverse Genie. Fully responsive, it’s designed for seamless teamwork across devices.
Documentation website for CodeBolt AI Editor
🛠️ Experiment on AI-assisted test-driven development.
This project is a starter template for building modern web applications using React together with Claude Code. It provides a quick and clean setup, so you can focus on writing features instead of boilerplate configuration :)
largest llm coding benchmark
This repository allows the replication of our study "Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity" accepted for publication at The 36th IEEE International Symposium on Software Reliability Engineering (ISSRE 2025).
Sample edition of The Stack Enriched: annotated, secure, and optimized code dataset, this is a sample version
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