Personalized recommendations are at the heart of modern entertainment apps. But as your user base and content library grow, so do the challenges of serving fast, relevant, and scalable recommendations. In this post, we’ll walk through the evolution of a movie swiping API, highlight common pitfalls, and share best practices for scaling your backend—using real-world code and SQL.

Overview​

We're excited to share major progress on the Movie Swiping MVP for the DAGGH companion app! The goal: deliver a robust, fluid, and delightful movie discovery experience, inspired by Tinder's swipe UI, fully integrated with our backend and authentication.

Overview​

In our latest implementation, we've introduced a clear separation between public and privileged Supabase clients in our Next.js web app. This post explains the reasoning, implementation, and flow behind our new serviceClient pattern, and how it enables secure, robust backend operations—especially for tasks like recording user swipes.

We've completely revolutionized our API documentation workflow at DAGGH by implementing a fully automated OpenAPI generation system powered by Zod schemas. This post dives deep into our technical implementation, design decisions, and the dramatic improvements in developer experience.

We've successfully completed the migration of DAGGH's documentation to Docusaurus, creating a modern, interactive, and developer-friendly documentation experience. This post covers our migration journey, the improvements we've achieved, and what's next for our documentation platform.

We're excited to announce that our documentation migration to modern platform is now complete! This represents a major milestone in our effort to create a comprehensive, well-organized documentation hub for all Peack projects and services.

🎯 What's New​

Organized Structure​

Our documentation is now organized by service and functionality:

• Shared Documentation: Cross-platform guides and getting started information
• Frontend Applications: Complete application documentation and guides
• ML & AI Services: Machine learning and AI service documentation
• API Documentation: Comprehensive API reference and integration guides
• Documentation Platform: Platform maintenance and contribution guides

Enhanced Developer Experience​

Each service section now includes comprehensive documentation covering:

• Development context and setup guides
• Implementation patterns and best practices
• Troubleshooting and debugging resources
• Architecture decision records

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