He used Claude Code to 'vibe code' the assembly changes, leveraging the fact that the disassembly identifies about 2KB of unused memory. It’s a fascinating look at how LLMs can now navigate and modify 40-year-old Z80 assembly when provided with a well-documented codebase like this one.
The video sparked a lot of discussion in the comments, with some people being very upset he used AI for this.
I’ve tried to visualize the “navigate and modify” process you mentioned in [0]. It’s mesmerizing.
Because reverse engineering outcomes are comparatively easy to verify, it’s a good fit for training for AI. I expect major progress in the next few years, potentially to the point where reverse engineering many binaries becomes highly automated.
The disassembly is particularly nice to read, such as the sprite-drawing routine:
https://skoolkit.ca/disassemblies/manic_miner/asm/36852.html
Curious that there are snippets of the original project source code still embedded in the 'dead' memory space of the Manic Miner binary .. I find myself wondering if this could be the basis of a ML-driven rewrite into the original source form, as a kind of archaic protogenesis .. but, anyway, still a curio:
https://skoolkit.ca/disassemblies/manic_miner/asm/37708.html
Indeed, for anyone with a new or old interest in assembly language, of any competency, this disassembly is a delightful read ..