# Engineer builds Minecraft phonics game with AI > Source: > Published: 2026-06-15 07:43:00.223506+00:00 # Engineer builds Minecraft phonics game with AI In a June 9 blog post, Alex O'Callaghan wrote that he built a **Minecraft**-themed phonics game in a single conversation with Claude. The game implements two modes: picture-to-spell using letter tiles and read-to-picture with four-choice images, and the word set targets Key Stage 1 phonics. O'Callaghan reports he then moved the prototype into a proper project using Claude Code, set up **Vite**, added **Vitest**, converted to **TypeScript**, and swapped emoji placeholders for an npm package of Minecraft item sprites. He wrote that his son engaged immediately and began co-designing content suggestions, increasing motivation to practise. ### What happened In a June 9 blog post, Alex O'Callaghan wrote that he used Claude to generate a playable, browser-based **Minecraft** phonics game in one conversation. The post describes two gameplay modes, picture-to-spell with letter tiles and read-to-picture multiple choice, with word lists aligned to Key Stage 1 phonics. O'Callaghan reports he imported the prototype into a local project using Claude Code, set up **Vite**, added **Vitest**, migrated to **TypeScript**, and replaced emoji placeholders with assets from an npm package of Minecraft item sprites. ### Technical details The author describes using Claude to produce a React component, then iterating via Claude Code for tooling and tests. He highlights conversion to **TypeScript** for explicit data structures and adding difficulty levels so the word pool scales as the learner progresses. The post includes short demonstration videos showing gameplay and the iterative changes. ### Editorial analysis Industry-pattern observations: Large language models and assistant tools increasingly enable rapid, end-to-end prototyping of interactive educational content. Practitioners have reported that combining model-generated UI scaffolding with small engineering edits, typed contracts, and tests accelerates iteration while keeping maintainability manageable. ### Context and significance For practitioners building pedagogical software, this example illustrates low-effort prototyping that still benefits from engineering polish. It also highlights user-driven co-design: the learner contributed content ideas that increased engagement. At the same time, prototype code generated by assistants requires review for curriculum alignment, asset licensing, and safety before production deployment. ### For practitioners Watch for asset licensing constraints when using game-brand imagery, curriculum alignment for assessment-grade material, and test coverage to prevent regressions when model outputs are refactored or expanded. ## Scoring Rationale A useful demonstration of LLM-assisted prototyping for educational apps, but limited to a single personal project. The practical lessons are relevant to developers and edtech practitioners, yet the story lacks broader validation or novel technical advances. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)