SQL Scrolls, an FHNW-developed SQL learning game, existed in two separate code branches: one with leaderboard-based gamification, another with AI-driven adaptive task recommendations. Both had new features but suffered from an outdated, complex architecture and were split into separate repositories, requiring manual combination for deployment.

Using an agile-inspired hybrid project management approach, both branches were merged into a single repository. Modernization included ES6+ syntax, npm-managed dependencies, Docker container orchestration, and updated documentation. Student feedback guided usability improvements, and additional books and tasks were integrated.

The project delivered a full-stack, modernized public release of SQL Scrolls on GitHub, unifying gamification and AI-driven task recommendation features. The repository quality improved through refactoring, dependency upgrades, and removal of legacy components. Deployment was simplified via a unified architecture, enhanced documentation, and quick-start guides for multiple platforms. The overhauled structure integrates improvements from previous feature branches and supports long-term maintainability. Educational content was expanded with new themed books and 25 additional tasks. This release is ready for community contributions and adoption.