Non-engineer shares 8 rules for building games with ChatGPT and Claude Code
A non-engineer built a 30-episode browser game using AI tools like ChatGPT and Claude Code, documenting eight rules they developed to manage collaboration. The approach divides tasks by AI strength: ChatGPT handles design and review, while Claude Code writes code, tests, and logs work. Key lessons include assigning roles upfront, consolidating documentation into a single source of truth, and…
What you can do with it
AI at Work →Write handover notes for long chats with ChatGPT + Claude Code
Divides tasks by AI strengths, consolidates documentation, and enforces handover notes.
- Who for
- founders
- Cost
- included in a tool you already have
- Effort
- minutes
Use it for
- Divide AI tasks by strength
- Batch art requests after finalizing
- Write handover notes for long chats
How to set it up · From the article
- Define AI roles (e.g., ChatGPT for design, Claude Code for coding).
- Create a single source-of-truth document for all decisions.
- Request art in batches after finalizing requirements.
Watch out Requires manual setup of rules and documentation structure
Key points from the news
- 8 rules emerged from failures during a 30-episode game project built with AI tools
- Claude Code handles coding and testing; ChatGPT oversees design and feedback
- Work logs in Japanese and handover documents prevent lost context in long chats
The creator emphasizes human oversight: they verify AI recommendations before approval, use handover documents to avoid lost context, and write work logs in Japanese for clarity. Testing on smartphones revealed gaps in AI-generated visuals and interactions, prompting expanded test coverage. The project, That Day’s Classroom, is now available for feedback, with the author planning to share future struggles in detail.
The story so far
2 episodes →- Non-engineer shares 8 rules for building games with ChatGPT and Claude Codethis story
8 Rules I Follow as a Non-Engineer When Building Games with ChatGPT and Claude Code [Save for Later]
note.com · 29 October 2026
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This text was published by note.com and written by Memory Reframed Lab. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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3sourcesThe headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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