The website decomp.dev said Thursday that it is shutting down because “the community aspect of decompilation has been broken” by AI, and that projects that once required intense collaboration between people with different skills can now be done trivially with AI. The administrator of the website said that it has become impossible to keep track of which projects are primarily human-led and which ones are done by AI.
“Historically, matching decompilation has been a brutally difficult, time consuming task, on the scale of years for any moderately-sized game with a number of active contributors,” the pseudonymous admin of decomp.dev, who goes by Encounter, wrote on the site.
But recent frontier AI models like GPT-6-Astra have made it trivially easy to decompile a game: “They are significantly better at following complex directions, cross-referencing resources for symbols or debug information, and writing natural code with enough guidance,” Encounter wrote. “It is now clear that, with the right guidance, human input, and code reviews, AI can expedite the decompilation process in a significant way. What is also now clear is that the community aspect of decompilation has been broken.”
AI-powered video game decomps and recomps (recompiling code after modifying it) are everywhere. People have, for example, used AI to put Mario into Elden Ring, port games to platforms they were never designed to work on, or to combine various games in any permutations you could possibly imagine. In recent days, tools specifically designed to decomp games with AI have popped up, such as "decomp.wtf," which promises to "point the AI agent you already use at a game you own. decomp.wtf turns it back into C, one function at a time, and checks every function byte for byte against the original."
Decomp.dev was a collaborative website that hosted file libraries and tools for reverse engineering, re-coding, and decompiling existing video games, meaning taking an existing game and recreating its source code. Decompiling a video game can be done for a variety of reasons and is popular in a few different niches of video game fandom. Speed runners decompile video games to find potential glitches or advantages they can use to beat a game faster; hobbyists decompile video games to port them to new platforms or to emulate them (for example, making Super Mario 64 run natively on PC); modders decompile games so they can more easily modify them; archivists decompile games to recreate code that may be lost; and some people decompile games just for the challenge.
Encounter wrote that the use of AI in the community has sped things up to the point where it has become overwhelming to track human-led projects, and people using AI have taken existing, human-led AI projects and have created “hostile forks” of them, where open-source code written by humans is taken and “finished” by AI: “These kinds of hostile forks put little to no effort into meaningfully contributing to existing projects, tearing apart our community fabric.” Encounter added, “anyone with an AI subscription can manage to create a port or static recompilation that functions at a basic level […] While community members put in the effort to decompile a game, opportunists have frequently raced to release a half-baked, barely-functional port from it.”

Sure, explain why someone reverse engineering adobe software or older games and open sourcing it isn't great
Because its worse code quality, also because you're fucking up hobbiest programming.
What do you think happens when everyone runs outta money to train the corporate frontier models, and open-weight models stop being given out as loss leaders?
Great way to lose a communal skillset to time, at least when we did this with space travel we had the excuse of not doing it in the same capacity for like 50 years because of the exorbitant expense.
I mean do you know what maintaining these things by hand will be like when we inevitably have to do so? The amount of drudging through spaghetti that'll have to happen?
What's your solution to that? Asking Claude to "fix the problem without making new ones, pretty please with a strawberry on top?"
My comp sci teachers/profs always said FORTRAN programmers made dough because the old guys who still knew it where dying off, despite it still being used for older financial systems.
Never expected that to happen to the then cutting-edge things I've learned in school and from self study by the time I hit my early 30s.
But at least I know I'll probably have easy money coming to me in 3-5 years when the braindrain really hits :)
Can't compare code quality for code that was never written. If someone reverse engineers a game that no one was working on with AI that code is better then nothing.
Doesn't have to, I'm fully for having platforms for only humans and if someone wants to make a platform for reverse engineering without AI that's fine by me. Nothings stopping people from playing chess even though computers are objectively better at it now.
The models will still exist. If anthropic goes bankrupt tomorrow the weights for opus 5 will still exist and be sold off to someone, it's not just going to disappear. Same with open weight models, plenty of people have them downloaded and can torrent them worst case scenario if the companies stop distributing them.
In general I think you're underestimating the capabilities of modern AI and overestimating the capabilities of your average developer. At this point properly made AI code is better and more maintainable then 90% of developers code.
Yeah it'll make it so you lose skills, but any technology that helps you will. Cars make people unable to walk as far, gps makes people dependent on their phone for directions, hell even shoes stop callouses and make it so you can't walk without them.
Even in programming we offload large parts of functionality to libraries we don't know the inner workings of.
Stack overflow probably atrophied programmers ability to think through a problem and read manuals, but overall it produces better code because, as any SO thread will show you, people come up with stupid solutions to problems and having a source to say what is the correct solution increases code quality as opposed to a programmer thinking through it to a naive solution.