500B Tokens Later: Letting AI Agents Decompile a First-Person Shooter
A developer details a project using autonomous AI agents to decompile a classic first-person shooter game into C++. The project focused on orchestrating multiple AI models to achieve semantic correctness and code stability.
Why it matters
This demonstrates the evolving capability of AI agents to perform complex, multi-month software engineering tasks autonomously.
During the last 3 months, I spent some of my time and tokens decompiling a popular first-person shooter. The goal was not to reach a simple proof-of-concept state. Instead, we really wanted an accurate, stable and feature-complete recreation of the game.
The avid reader of my blog might have noticed that I had previously written two posts that have since been removed. Everyone else might now be wondering which game I am talking about. To both of you I can only say that corporate America was here to ruin our fun.
However, that’s fine. This post is not about the game, it’s also less about the process of decompilation. It’s more about AI orchestration and how to optimize infrastructure, setup and harness for optimal results.
This project was done with the help of RektInator, Future, st0rm and other members of the community. A big thank you to all of them.
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