The GitHub project REA (Reverse Engineer Anything) has garnered nearly 80,000 stars in just three days, topping today's GitHub Trending list.Article author and source: AI New Era
Over the past two days, a project on GitHub called REA (Reverse Engineer Anything) has rapidly gained nearly 70,000 stars!
In comparison, OpenClaw, which created a growth miracle at the beginning of the year and led a nationwide craze for raising "lobsters," had a GitHub Star growth curve like this: on its third day of explosive growth, it accumulated 60,000 new stars. Meanwhile, REA has already reached nearly 80,000 new stars on its third day (today):
Jev, which recently went viral, is proprietary, so we can only compare npm download counts: Jev had 35,000 downloads in its first three days, while REA has accumulated approximately 44,000 downloads!
Jev open-source GitHub project star trend
It has now reached the number one spot on today's GitHub Trending list, gaining tens of thousands of stars daily, showing a momentum reminiscent of OpenClaw's rapid rise earlier this year.
It did nothing but shockingly expose the inner workings of all commercial software using AI.
From now on, whenever you point to any business app on your screen and say, “I want this feature,” your Claude Code/Codex or other Agent will use REA to directly infiltrate its binary core, dissect the assembly code, and spit out a perfect open-source implementation—along with a detailed list of the “evidence.”
The author has even been working to reverse-engineer large commercial software like Office!
If someone could truly reverse-engineer the closed-source macOS/iOS systems—the largest software platforms in existence—the entire world would be overturned by open source!
The myth of the "closed-source moat," which has endured for half a century, is officially debunked at this moment;
The so-called software trade secrets have become a joke that can be revealed at any time by large models.
Break open the black box
In this world, there are two things that love to put on airs: one is so-called "masters," and the other is tech companies that package their code into binary files and claim they contain "core technology."
In the past, big companies compiled code that might have been as messy as a pigsty into machine code, and that became their "intellectual property."
To an ordinary person, these binary files look like gibberish.
Occasionally, a few hackers skilled in reverse engineering wield ancient tools like IDA or Ghidra, sifting through mountains of assembly code—it’s both an arcane art and a refined craft.
Thus, big companies rest easy, believing that as long as they don’t release the source code, you’ll never know whether there are just a few monkeys stomping on generators inside their black box.
But the emergence of REA has shattered the black box.
Its logic is so straightforward and brilliant that it’s astonishing.
Aren't your large models brilliantly intelligent but powerless in practice? Aren't Ghidra and Hopper capable of cutting through steel but incomprehensible to everyone?
Alright, REA built a broker based on MCP (Model Context Protocol) to bring these two together in the same room.
Right now, you don’t need to understand what ELF is or what EVM bytecode is—you just need to give orders like a boss:
Go and check how the Notion clipboard bridge is implemented.
Then your AI will automatically invoke REA, decompile the code, read the assembly, trace the connections to find the interface, and finally report back to you in human language:
Report to the boss: this is how it works—here's the refactored C++ code, ready to use directly.
This is literally the "Three-Body Sophon" for the software industry!
In the face of REA, the app’s behavior, native binaries, Android APKs, and even hardware firmware all become one-way transparent glass rooms.
Absurd ending
If you still think this is just an "auxiliary tool," then you likely understand nothing about human greed and the inevitability of logic.
Here are several predictions that are highly likely to come true:
First, "micro-innovations" at the code level will die out entirely, and plagiarism will become a precise, automated science.
Previously, copying required guessing the logic from the UI, but now AI directly uses tools to extract your underlying assembly instructions.
SaaS companies that relied on one or two proprietary algorithms and clever tricks will wake up tomorrow to find their core value proposition freely available in an open-source repository.
Second, intellectual property (IP) lawyers experienced a collective heart attack.
When proving "non-core code similarity" becomes as easy as drinking water, existing software copyright laws will become meaningless.
You can't sue an AI, and the code it replicates maintains the same logic but changes all the syntax—so much so that even judges don't know how to rule.
Third, and most absurdly: future software engineering will be a contest of who can be more repulsive—a war against humanity.
Since code cannot be hidden, the company’s only recourse to protect its meager assets is to employ every possible means of code obfuscation.
Taking the Python version of the quicksort algorithm as an example, simple and elegant code, after obfuscation, becomes like this:
Future programmers will no longer strive for elegant, readable, and efficient code; instead, they will rack their brains to make code as chaotic as possible—so convoluted that even AI would want to quit (end the session).
We are entering an absurd era: AI is trying to turn poop back into gourmet food, while human engineers are desperately turning gourmet food back into poop.
Wilde once said that everything in the world is about sex, except sex itself.
After REA was born, all software businesses in the world became solely about computing power, data, and network effects—nothing more than the code itself.
Code is no longer sacred; it is merely a consumable that can be reversed, analyzed, and refactored at any time.
REA pulled the veil too quickly, leaving many large companies standing naked in the wind, still believing they are dressed in magnificent new clothes.