This repository is a community-driven web application that aggregates and displays developer conferences worldwide, with a strong focus on Call for Papers (CFP) deadlines. The core data is maintained in markdown files (README.md for current year, archives/ for past years) and enriched with CSV metadata (attendee counts, talk durations, AI-generated tags). A React single-page application (Vite, React Router, Leaflet) provides multiple views: calendar, list, map, CFP deadline tracker, and a CFP companion for speaker status tracking. The frontend features i18n (5 languages), theme toggle, favorites, offline support via service worker, and a sophisticated filtering system with include/exclude modes and URL-driven state. The backend consists of Node.js scripts that parse markdown, generate JSON feeds, ICS calendars, RSS, geocode locations, and validate data. AI integration (OVHcloud AI Endpoints) generates tags and attendee estimates. The project is actively maintained with extensive CI/CD (GitHub Actions for validation, geocoding checks, tag generation, security scanning) and includes unit tests (Vitest), E2E tests (Playwright), and BDD specs (Cucumber). While primarily an application, it has a significant data pipeline component, making it a hybrid project. The codebase is well-structured with reusable components like FilterMultiSelect and custom hooks, though some duplication exists in event forms and the markdown data format is fragile.
This repository is a community-curated, chronological database of Korean developer events (conferences, meetups, hackathons, bootcamps) spanning from 2020 to 2026. The core data asset is a collection of markdown files organized by year and month (`end_event/`), each containing structured event entries with titles, links, categories, organizers, and dates. It also archives event replays (`replay_event/`) and reviews (`review/`). The repository functions as the canonical data source for a broader ecosystem of web and mobile applications, but contains no application code itself. Its primary value lies in its longitudinal coverage of the Korean tech event landscape and its successful community-driven curation model. The data is explicitly protected by a proprietary license and a restrictive `robots.txt` that blocks AI/ML crawlers, signaling a strong stance on data governance. While the data model is simple and manually maintained, leading to some inconsistencies and link rot, the project's longevity and active community make it a valuable resource for understanding the Korean developer ecosystem.