- Replaced Nuxt ESLint configuration with Antfu's ESLint config.
- Removed 'nuxt-visitors' module from Nuxt configuration.
- Added linting scripts to package.json for easier code quality checks.
- Introduced a new API endpoint for fetching weather data from OpenWeather.
- Enhanced chat types with new enums and properties for better state management.
- Added OpenWeather response types for improved type safety.
- Updated social links in types/index.ts to include an email contact.
- Created a new article on "Understanding AI Agents, LLMs, and RAG" detailing the synergy between AI agents, LLMs, and Retrieval-Augmented Generation.
- Added an introductory article on "What is Machine Learning?" covering types, model selection, workflow, and evaluation metrics.
chore: setup ESLint and Nuxt configuration
- Added ESLint configuration for code quality.
- Initialized Nuxt configuration with various modules and settings for the application.
chore: initialize package.json and TypeScript configuration
- Created package.json for dependency management and scripts.
- Added TypeScript configuration for the project.
feat: implement API endpoints for activity and stats
- Developed API endpoint to fetch user activity from Lanyard.
- Created a stats endpoint to retrieve Wakatime coding statistics with caching.
feat: add various assets and images
- Included multiple images and assets for articles and projects.
- Added placeholder files to maintain directory structure.
refactor: define types for chat, lanyard, time, and wakatime
- Created TypeScript types for chat messages, Lanyard activities, time formatting, and Wakatime statistics.
