As your AI-generated game grows in features, single-file scripts easily bloat to over 1000 lines. At this size, prompt memory limits degrade and the LLM begins introducing circular scope dependencies, coordinate reference errors, or duplicate loops. Here is a battle-tested strategy to debug and segment massive AI-made spaghetti codeblocks.
1. The 'Dependency Mapping' Prompt
Before asking the AI to fix a bug in a massive file, force it to map the logical blocks. This aligns the context window and forces it to locate where variables are declared versus modified:
Read the attached file and construct a text-based map showing:
1. Global variables and where they are declared.
2. The core update / render loop hooks.
3. Every custom function name, its arguments, and what global variables it reads or modifies.
Do not modify the code yet; output the dependency map first.2. The Modularity Split Protocol
Once the map is drawn, ask the model to split the code into separate, independent scripts. For browser games, segment files into: `input.js` (keyboard/touch), `physics.js` (movement/collision), `audio.js` (synths), and `game.js` (central loop and state controller). This modular design prevents context leakage and keeps AI prompting tight and maintainable.
