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The Reverse-Engineered World: Why "Local-First", Clean-Room Rust, and POSSE Are the Future

··1252 words·6 mins
Reverse-Engineering Rust Local-First Indieweb Opensource Security
Author
Miska Hämäläinen
Specializing in Identity and Access Management, zero-trust security frameworks, and infrastructure automation. Building practical security solutions that teams actually use.
Table of Contents

Every program on your machine used to be a locked room. You paid for the right to knock, and the vendor decided what you got to see. The manual described the door. It never described the hinges.

That world is over. The door turned out to be readable.

A note on the writing: the technical sections follow Simplified Technical English, the writing rules from ASD-STE100, one idea per sentence, active voice, no sentence over twenty words. The narrative sections do not follow those rules. The split is deliberate. The thesis of this post is that legible things can be owned, and writing is software too.

1. When Software Became Legible
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REA (Reverse Engineer Anything) is an open-source tool you install on your own machine. It connects an AI agent to a set of analysis tools.

The tools inspect native binaries, JavaScript apps, Electron apps, .NET assemblies, and websites. For native code, REA can use Hopper, Ghidra, or IDA. The analysis stays local. No vendor service sees your binary.

An agent can now read a compiled program the way you read source code. It can trace calls, read assembly, and follow the internal IPC bridges inside an Electron app. It can show how a feature works, with the evidence and the limits of each conclusion.

Then it can write a new implementation for your project.

Three consequences follow:

  • A secret inside a binary stops working as a defense.
  • Your files, if they live on someone else’s server, live on someone else’s terms.
  • Your tools, if you cannot rebuild them, belong to whoever can.

2. Twenty Years of Renting
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The web built on digital sharecropping runs on a simple arrangement: you do the farming, and the landlord owns the field.

We post our thoughts into proprietary feeds and store our notes in closed cloud databases. Our audiences sit on accounts that a form we never see can suspend, and they last only as long as the subscription clears.

A platform can change its terms on a Tuesday, sunset the product on Friday, and delete an account on a holiday. None of it is illegal and none of it is personal. The lease ends and the field stays behind.

When software becomes readable at the same time as platforms become extractive, the arrangement stops making sense. Three older ideas come back into focus: POSSE, Local-First Software, and clean-room re-implementation.

3. Rule One: POSSE (Stop Renting Your Audience)
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POSSE means Publish (on your) Own Site, Syndicate Elsewhere. The IndieWeb community uses this term.

The method has three rules:

  1. Publish the original on a site you control. Your domain, your files, your permalinks.
  2. Send copies outward. Share snippets, links, or posts to the platforms where your readers already are.
  3. Link every copy back to the original. Each social post points to the permalink on your own site.

The platform becomes a distribution channel. It is not the home of your work.

If a platform changes its rules or closes, your original stays safe. You lose a channel, not a library. This post follows the same rule: it lives on miska.dev first, and copies elsewhere are only copies.

Post a thread directly into a closed network instead, and the value you build there stays with the network. POSSE keeps the original at your own address and still reaches the same readers.

4. Rule Two: Local-First (Why the Cloud Isn’t Enough)
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POSSE protects your content. Local-First Software protects your applications and your data.

The term comes from a 2019 paper by Martin Kleppmann and his co-authors: Local-First Software: You Own Your Data, in spite of the Cloud (Onward! ‘19, published by ACM).

Cloud-first tools, like Google Docs or Notion, keep the main copy of your data on third-party servers. Local-first tools invert that model:

  • Your device holds the main copy. You own the files, and you can open them with any program that reads the format.
  • The tool works offline and needs no account. The network is an enhancement, not a permission slip.
  • Sync runs between your devices over peer-to-peer or end-to-end encrypted channels that you control.
  • The files stay readable for decades, because open formats do not expire with a company.
  • The tool outlives its vendor. Software that runs locally keeps working if the startup behind it disappears.

A cloud tool can delete your account. A local-first tool cannot delete your disk.

5. Rule Three: The Clean-Room Method
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The famous case is from 1981. IBM owned the personal computer market, and its BIOS was the gate. Phoenix Technologies wanted to sell a BIOS that worked the same way. The engineers could not copy IBM’s code, so they built a wall between reading it and writing it.

The method has two teams and a wall between them:

  1. Team A studies the original program. It observes the behavior and writes a specification. It never writes code for the new program.
  2. Team B sees only the specification. It never sees the original source, binary, or listing.
  3. Team B writes new code from zero, using only the specification.
1
2
3
4
5
6

+------------------+         +------------------+         +------------------+
| Original program |  Team A | Specification    |  Team B | New program      |
| (binary/source)  | ------->| (behavior only)  | ------->| (written fresh)  |
+------------------+         +------------------+         +------------------+
                                   wall wall wall
                        Team B never sees column one

Engineers also call this the “Chinese wall” technique. The new code inherits the behavior of the original, never its substance. Phoenix shipped, and IBM’s lock broke.

6. Why Rust Is the Language of This Movement
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The same method now runs on Rust.

  • Memory safety at compile time. A buffer overflow becomes a build error, not a security hole. Many old bugs cannot exist in safe Rust.
  • No garbage collector. A Rust program runs close to the speed of C, with modern tooling on top.
  • A standard toolchain. Cargo, unit tests, and fuzzing come with the language.
  • Community scale. Formats, protocols, and runtimes that nobody documented are being measured, specified, and rewritten.

Reverse-engineering agents accelerate the slow part. The behavior-mapping phase used to take a team months. An agent with REA can produce evidence-backed observations in an afternoon. The bottleneck moves from understanding to specifying, and specification is cheap.

7. Why the Three Win
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As AI tools make software legible and centralized platforms grow more extractive, these three hold up for different reasons:

  1. Resilience against platform decay. When a cloud platform degrades or changes terms, cloud-only users get trapped. You can swap a syndication channel or a sync backend without losing anything you own.
  2. True data and code sovereignty. When binaries can be read and rewritten, obscurity stops protecting you. Real security comes from open standards, memory-safe code, and data you hold.
  3. Digital independence. Personal websites, local-first tools, and community re-implementations treat you as an owner, not as a tenant.

8. Where to Start
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You don’t need to rewrite your workflow today. Three changes are worth making:

  1. Publish on your own domain first. Use social media as a syndication layer, not as a home.
  2. Choose local-first software. Prefer tools that store open, readable files on your machine.
  3. Support clean-room, open-source alternatives written in modern languages like Rust, and treat their parity tests as the proof.

The locked room is now glass. What you do with it is a question of ownership.

Links and References#