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AI USE CASES

What you can do with rea

A plug-in that lets your AI agent take apart an app and explain how a feature works.

#1 in this week's top 10 trending AI repos

Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk.

Authorization notice. This tool is dual-use. Only use it on software, sites and systems you own or have explicit permission to test, and follow the relevant licenses and terms of service.

9 use cases

Rebuild a feature you saw, in your own project

Have your agent study a feature in an app, then write and test a version for your codebase.

  • Intermediate
  • 1 hour
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI
Seen in the wild

Evidence (similar to what people reported): X, Oct 2026 · X, Oct 2026

WhoSolo founder who wants a comparable feature in their product after studying how another app does it

The problemYou know what the feature does but not how to build it, and copying blindly risks missing key details.

The outcomeA working implementation in your project, grounded in what the agent observed in the target app.

Steps

  1. Run npx rea-agents setup and restart your agent.
  2. Ask the agent to investigate the feature in the target app and explain it first.
  3. Ask it to build a version for your project and test it.
  4. Review the code and compare it against the evidence it listed.

Prompt for your agent

Use REA to investigate <feature> in <app> at <path>, show the evidence, then build a version for my project at <project path> and test it. Verify the result matches the behavior it observed, not just a guess.

Caveat. Reimplementing another product's behavior can raise copyright, license and terms-of-service issues. Write your own code and only study apps you are permitted to inspect.

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Map how a website's front end behaves

Let your agent inspect a site's page structure, scripts and network calls and explain what the client does.

  • Intermediate
  • 45 minutes
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI
Seen in the wild

Evidence (similar to what people reported): X, Oct 2026

WhoFrontend developer curious how a web app wires its UI to its scripts and requests

The problemMinified scripts and network traffic make it hard to see how a web app actually works.

The outcomeA summary of the page structure, scripts and observed network requests for the site.

Steps

  1. Run npx rea-agents setup and restart your agent.
  2. Make sure a Chrome-family browser is installed.
  3. Ask your agent to observe the target website with REA and list scripts and network calls.
  4. Ask it to explain the part of the behavior you care about.

Prompt for your agent

Use REA to observe <website url> in a browser and summarize its page structure, scripts and network requests. Explain how <feature> works and verify claims against the observed requests.

Caveat. Observation covers the client side only. Server logic can only be inferred from responses, and you should respect the site's terms of use.

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Learn how a feature in another app works

Point your agent at an installed app and get an explanation of one feature, with the evidence behind it.

  • Intermediate
  • 45 minutes
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI
Seen in the wild

Evidence (similar to what people reported): X, Oct 2026 · Reddit

WhoIndie developer who likes a feature in a desktop app and wants to understand how it is built

The problemThe app has no public source code, so you cannot tell how the feature is put together.

The outcomeA written explanation of how the feature works, with the evidence listed and unknowns flagged.

Steps

  1. Run npx rea-agents setup, pick your agent, approve the changes, then restart the agent.
  2. Ask your agent to investigate one specific feature in the target app using REA.
  3. Ask it to show the evidence for each claim and mark anything it is guessing.
  4. Read the explanation and ask follow-up questions about the parts you will reuse.

Prompt for your agent

Use REA to work out how <feature> works in <app> at <path>. Show the evidence, flag what you are guessing, and summarize the design in plain words. Verify every claim points to a file, symbol or observed behavior.

Caveat. Only analyze software you own or are licensed to inspect, and check the app's license terms. REA can only infer backend logic from what the client exposes.

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Pull apart a game's web build

Use your agent to inspect a game's WASM web build and surface what it contains.

  • Advanced
  • 1 hour
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI
Seen in the wild

Evidence (similar to what people reported): X, Oct 2026

WhoHobbyist or modder who wants to know how a cross-platform game's web build is put together

The problemThe web version ships as compiled WebAssembly, which you cannot read directly.

The outcomeA decoded view of the WASM imports, exports and sections, plus the agent's notes on what they suggest.

Steps

  1. Run npx rea-agents setup and restart your agent.
  2. Download or locate the .wasm file from the game you are allowed to inspect.
  3. Ask your agent to inspect the WASM artifact with REA and decode it.
  4. Ask it to explain the notable imports and exports.

Prompt for your agent

Use REA to inspect the WASM artifact at <path to .wasm>, decode its sections and imports/exports, and explain what stands out. Verify against the decoded output and flag any guesses.

Caveat. WASM decoding needs the caller-supplied WABT 1.0.42 toolchain. Only inspect builds you have the right to analyze.

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Understand traffic from a saved HAR or SAZ file

Feed a saved network capture to your agent to see requests, responses and the payloads they expose.

  • Intermediate
  • 45 minutes
  • From the README
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI

WhoDeveloper debugging how an app talks to its server using a capture they already recorded

The problemA raw capture has hundreds of requests and no clear picture of what the app actually sends.

The outcomeA readable breakdown of requests, responses and exposed payloads tied to source locations.

Steps

  1. Export your traffic as a HAR file or a Fiddler Everywhere SAZ file.
  2. Run npx rea-agents setup and restart your agent.
  3. Ask the agent to analyze the capture with REA.
  4. Ask it to explain the calls behind the feature you are tracing.

Prompt for your agent

Use REA to analyze the network capture at <path to .har or .saz>, list the key requests and responses, and explain which calls drive <feature>. Verify each claim against a specific request in the capture.

Caveat. Captures may contain tokens and personal data, so scrub them before sharing. On Linux, native mitmproxy captures need mitmdump installed.

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List modules and IPC in an Electron app

Run one command on an extracted Electron app or ASAR to see its modules, imports and process boundaries.

  • Beginner
  • 30 minutes
  • From the README
  • Any agent

WhoDeveloper vetting or learning from an Electron desktop app they have installed

The problemPackaged Electron apps hide their structure inside bundled files, so you cannot easily see what talks to what.

The outcomeA JSON report of modules, imports, Electron boundaries and the evidence for each.

Steps

  1. Locate the extracted app directory or ASAR file on disk.
  2. Run npx -y rea-agents@latest analyze-javascript-application /absolute/path/to/app --json
  3. Read the report for modules, imports and Electron boundaries.
  4. Feed the JSON to your agent and ask it to explain the feature you care about.

Prompt for your agent

Run REA's analyze-javascript-application on <path to extracted Electron app> and explain the main modules, imports and IPC boundaries. Verify each finding cites evidence from the report.

Caveat. On Linux you need a procps-compatible ps on PATH. Replace the example path with your own, such as a Windows path like D:/apps/example.

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List types and methods in a Unity game

Decode a Unity IL2CPP metadata file to see assembly images, type names and method names.

  • Advanced
  • 1 hour
  • From the README
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI

WhoGame modder or QA engineer who needs the class and method names in a shipped Unity game

The problemIL2CPP compiles game code to native, hiding the original type and method names.

The outcomeA list of assembly images, types and methods with index ranges from the metadata file.

Steps

  1. Locate the global-metadata.dat file from the game you are allowed to inspect.
  2. Run npx rea-agents setup and restart your agent.
  3. Ask the agent to inspect the IL2CPP metadata with REA.
  4. Ask it to summarize the types and methods related to the system you care about.

Prompt for your agent

Use REA to decode the IL2CPP metadata at <path to global-metadata.dat> and list assembly images, types and methods related to <system>. Verify names come from the decoded output.

Caveat. Static decoding supports metadata versions 29, 31 and 39 only. Check the game's terms before analyzing it.

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Get readable pseudocode from a native binary

Connect your agent to Hopper, Ghidra or IDA and ask what a native program's function does.

  • Advanced
  • 1 hour 30 minutes
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI
Seen in the wild

Evidence (similar to what people reported): Reddit

WhoEngineer inheriting an old compiled tool whose source is lost, needing to know what one routine does

The problemYou only have the compiled binary and cannot read assembly fluently.

The outcomePseudocode, strings, symbols and call references for the routine, explained in plain words.

Steps

  1. Install Hopper, Ghidra or IDA locally and configure it as the provider.
  2. Run npx rea-agents setup and restart your agent.
  3. Ask the agent to open the binary and explain the function you care about.
  4. Ask it to show the pseudocode and references it relied on.

Prompt for your agent

Use REA with my installed <Hopper, Ghidra or IDA> to analyze the binary at <path>, explain what <function or behavior> does, and show the pseudocode and references. Verify claims against the shown output.

Caveat. Needs a native analysis engine installed and configured; setup can optionally install Hopper with your approval. Only analyze binaries you own or are authorized to inspect.

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Check what an Android APK declares and does

Inspect an APK's manifest, classes and decompiled methods to see what the app declares.

  • Intermediate
  • 1 hour
  • From the README
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI

WhoIT admin or security reviewer vetting an Android app before approving it for staff devices

The problemYou cannot tell what permissions and components an APK declares or how its key methods behave.

The outcomeA report of manifest declarations, classes and decompiled methods you can review.

Steps

  1. Install headless JADX if you do not have it.
  2. Run npx rea-agents setup and restart your agent.
  3. Ask the agent to analyze the APK with REA and list manifest declarations.
  4. Ask it to decompile and explain the methods that handle the behavior you worry about.

Prompt for your agent

Use REA to analyze the APK at <path to apk>, list its manifest declarations and explain what <suspicious behavior> does in the decompiled methods. Verify each claim cites a class or method.

Caveat. APK analysis depends on JADX being available. Only inspect apps you are authorized to review; decompiled output is an approximation of the original code.

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About this repo

  • Who it is forFor developers and security-minded builders who want an AI agent to take apart an app they can run locally and explain how a feature works, with evidence.
  • Why it is hot+229,268 stars this week, 335k total, talked about in 3 AI sources we track
  • LanguageTypeScript
  • Sourcehttps://github.com/morluto/rea · Back to Repo Radar

Requirements

  • Node.js 22.x (>=22.19), 24.x (>=24.11), or 26+, plus npm
  • An MCP-capable AI agent such as Claude Code, Codex, Cursor or Gemini CLI
  • For native binaries: Hopper, Ghidra or IDA installed locally
  • For websites: a Chrome-family browser
  • On Linux: a procps-compatible ps on PATH for JavaScript/Electron analysis