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ZIM Master Prompt Aims to Stop AI from Generating Outdated Canvas Code

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The ZIM team, led by Dr. Abstract, has developed the ZIM Master Prompt to address a recurring problem where AI language models generate outdated or incorrect code for the ZIM JavaScript canvas framework. Without guidance, LLMs tend to default to legacy CreateJS patterns and obsolete methods due to their exposure to older training data. The prompt directs AI models to two lightweight, machine-readable reference pages — a stripped-down API map and a style guide — instead of full documentation pages that can overwhelm an AI's context window. The API reference provides exact parameter signatures and flags for special input types, while the style guide enforces ZIM's modern, concise coding conventions. The tool is publicly available at zimjs.com/prompt and is designed to help developers get clean, idiomatic ZIM code from AI assistants.

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