Show HN: Vibe coding a bookshelf with Claude Code (balajmarius.com)

A developer has successfully created an interactive digital bookshelf using AI assistance from Claude Code, overcoming the challenges of cataloging a personal library of about 500 books. Initial attempts with traditional tools like ISBN scanner apps and Goodreads failed due to limitations with certain editions and publishers, leading to frustration and abandonment of the project. However, by leveraging Claude's capabilities, the developer was able to automate the cumbersome data extraction process—photographing each book and using the vision API to gather metadata. With about 90% accuracy, this method allowed for a functional catalog, while manual adjustments were minimal. The significance of this project lies in its demonstration of how AI can enhance execution in real-world tasks, allowing users to transition from tedious manual labor to focused creative decision-making. Key technical achievements include the generation of scripts for metadata extraction, refinement of cover images using Open Library's API, and the implementation of dynamic visual elements that mimic the physical experience of a bookshelf. The final product showcases not only the ease of execution enabled by AI but also highlights the ongoing need for human judgment in design and taste. This project underscores the potential for AI to simplify the management of personal collections, setting a precedent for similar applications in other domains.