This week was all about building github-weekly-reporter from the ground up - a tool that generates beautiful weekly development reports from GitHub activity data. What started as a simple idea turned into a full-featured package with AI integration, internationalization, and automated deployment capabilities.
The development followed a clear progression: core data collection and rendering, then AI narrative generation, followed by deployment automation and GitHub Actions integration. Tuesday and Friday were the heaviest coding days with 161 and 153 commits respectively, showing the sprint-like intensity of getting this project to a shippable state.
By week's end, I had a complete npm package published under the @deariary scope, with comprehensive CI/CD pipelines and ready-to-use GitHub Actions for automated weekly report generation. The tool now supports multiple LLM providers, 10 languages, and generates SEO-optimized static sites with social sharing capabilities.
Summary 4 sections
Highlights 5 items
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feat: add project scaffold and GitHub API data collection module
The foundation PR that started everything - set up the TypeScript project structure and implemented the core GitHub API integration using GraphQL for efficient data collection.
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feat: add LLM integration for AI narrative generation
Added the AI narrative feature with multi-provider support and graceful degradation. This turned the tool from a simple data collector into an intelligent report generator.
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feat: add timezone-aware date ranges and i18n support (en/ja)
Major internationalization effort that fixed timezone handling and added support for 10 languages. The date range calculation now works correctly for developers in any timezone.
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feat: SEO optimization with OG images, JSON-LD, sitemap, and internal linking
Comprehensive SEO implementation that makes the generated reports social-media ready with proper OG images and structured data for search engines.
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ci: add GitHub Actions workflows for CI and npm publish
The final piece that made this a professional open-source project - automated testing and publishing workflows that ensure quality and streamline releases.