
Ben Pratt developed core world-building and tile placement features for the collectioncard/Selection-Generation repository over a three-month period. He engineered a dynamic Tile Placement System, integrating AI-driven workflows to support user-directed map composition and enhance customization. Using JavaScript, TypeScript, and Phaser, Ben improved the user experience with zoom-aware tile placement, boundary-respecting forest generation, and robust undo operations. He also introduced area-based decor generation and refactored tile clearing logic for reliability across named layers. His work emphasized maintainability and debugging, with enhanced logging and asset management, resulting in a more predictable, user-friendly, and extensible foundation for interactive game development.

June 2025 monthly summary for collectioncard/Selection-Generation: Delivered key features and targeted bug fixes around tile clearing, tile placement, and decor generation. Introduced mechanism for controlled layering and improved correctness of undo operations. Added area-based decoration capabilities and consolidated clearing logic across named layers. These changes improve reliability, predictability, and maintainability of the selection-generation workflow, with direct business impact on rendering accuracy and user experience.
June 2025 monthly summary for collectioncard/Selection-Generation: Delivered key features and targeted bug fixes around tile clearing, tile placement, and decor generation. Introduced mechanism for controlled layering and improved correctness of undo operations. Added area-based decoration capabilities and consolidated clearing logic across named layers. These changes improve reliability, predictability, and maintainability of the selection-generation workflow, with direct business impact on rendering accuracy and user experience.
May 2025 monthly summary focused on delivering core world-building and generation features, strengthening UX for tile placement, and hardening reliability across the pipeline. Key work included UX/telemetry improvements for tile placement, boundary-aware forest generation, clearer house-generation output, and groundwork for richer world-building in TinyTownScene. Critical asset-loading and build stability fixes were completed, accompanied by enhanced debugging instrumentation to shorten issue diagnosis and future performance tuning. Overall, the month delivered tangible user value, improved robustness, and a solid foundation for future storytelling features.
May 2025 monthly summary focused on delivering core world-building and generation features, strengthening UX for tile placement, and hardening reliability across the pipeline. Key work included UX/telemetry improvements for tile placement, boundary-aware forest generation, clearer house-generation output, and groundwork for richer world-building in TinyTownScene. Critical asset-loading and build stability fixes were completed, accompanied by enhanced debugging instrumentation to shorten issue diagnosis and future performance tuning. Overall, the month delivered tangible user value, improved robustness, and a solid foundation for future storytelling features.
April 2025 monthly summary for repository collectioncard/Selection-Generation: Key feature delivered: Tile Placement System. The TilePlacer class enables placing individual tiles on the map, integrates with the AI model by providing a list of available tile categories and IDs, and supports dynamic tile placement based on user requests and coordinates. This work lays groundwork for user-driven map composition and AI-assisted design, improving customization and engagement.
April 2025 monthly summary for repository collectioncard/Selection-Generation: Key feature delivered: Tile Placement System. The TilePlacer class enables placing individual tiles on the map, integrates with the AI model by providing a list of available tile categories and IDs, and supports dynamic tile placement based on user requests and coordinates. This work lays groundwork for user-driven map composition and AI-assisted design, improving customization and engagement.
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