This repository, named 'AI Short' (ChatGPT-Shortcut), is a production-grade Docusaurus-based web application that serves as a curated, multilingual library of over 5,000 AI prompts for ChatGPT, Gemini, Claude, and similar tools. The application provides a searchable, tag-filterable interface with prompt cards, copy-with-tracking, and detailed pages featuring FAQs and related prompts. It supports 18 languages via separate Docusaurus builds and includes a browser extension (Chrome/Firefox) for quick access. Beyond the static prompt data, it offers a community platform with user accounts (OAuth), favorites, custom prompt creation, voting, comments, and a level system. The frontend is a React 19 SPA with Ant Design 6, featuring client-side caching, optimistic UI updates, and lazy-loaded components. The backend (Strapi) is not open-sourced but the API contracts are fully defined. Deployment options include standard (shared backend), offline (localStorage), and full self-hosted setups. The code demonstrates strong engineering practices: clean component decomposition, custom hooks for data management, a two-tier cache system with ETag support, and thoughtful accessibility patterns. The prompt data itself is static JSON, generated from a master file via a Python pipeline, and includes rich metadata for SEO and cross-referencing.
Lobsters is a production-grade Ruby on Rails application powering the social news aggregation and discussion site lobste.rs. It provides a full-featured platform for submitting, voting, commenting, and moderating links, with a focus on computing and technology topics. The architecture follows standard Rails MVC patterns with a rich set of controllers, models, views, mailers, and background jobs, using SQLite in production with SolidQueue for job processing and SolidCache for caching. The codebase emphasizes self-hosting, minimal external dependencies, and optional JavaScript, with a strong moderation system featuring hats, flags, bans, and a detailed moderation log. Key features include story submission with duplicate detection, threaded comments with Reddit-style confidence sorting, tagging and filtering, user invitations, private messaging, mod mail, full-text search, RSS feeds, and Fediverse integration via Mastodon. Authentication supports bcrypt, TOTP two-factor, and OAuth (GitHub, Mastodon). The application includes extensive test coverage with RSpec, factory_bot, and VCR for external HTTP interactions, and employs custom monitoring and security measures such as IP spoofing protection, rate limiting (Rack::Attack), and SSRF protection in its HTTP client. While primarily a standard Rails application, it contains several well-crafted, reusable components such as a custom HTTP client with SSRF protection, a Markdown renderer with username linking, and reusable concerns for token generation and username validation. The codebase is actively maintained with regular commits, though it acknowledges some 'dusty corners' and technical debt, such as inline partial duplication and a few brittle deployment-specific configurations. Overall, it is a solid, well-structured application that demonstrates good Rails engineering practices.
PaoPao-ce is a full-stack micro-community social media platform written in Go (backend) and Vue 3 (frontend). It provides a feature-rich experience similar to Twitter/Weibo, including posts (tweets) with multimedia attachments, comments, likes, collections, private messaging, user profiles, topic/tag support, and a wallet system with Alipay integration. The architecture is modular and configurable, supporting multiple databases (MySQL, PostgreSQL, SQLite), search engines (Meilisearch, Zinc), object storage backends (LocalOSS, MinIO, AliOSS, COS, Huawei OBS, S3), caching layers (Redis, BigCache), and observability tools (OpenTelemetry, Sentry, Pyroscope, pprof). The backend uses Gin for HTTP, GORM for ORM, go-mir for API code generation, and protobuf for gRPC services. The frontend is built with Vue 3, Naive UI, Vite, and Pinia. Key features include feature toggles for different deployment suites, a runtime settings override via admin UI, and background job processing for search indexing and metrics. The platform emphasizes self-hosting and customization, with comprehensive SQL migration scripts and support for desktop clients via Tauri. The codebase demonstrates solid engineering practices with interface-based dependency injection, layered architecture, and code generation, though it carries some technical debt from deprecated backends and WIP features.