Osegi
AI·2 min read

AI Reverse Engineering Boom: REA Tool Mods Smart TVs and Apps

Users are rewriting smart TV and appliance software with AI coding agents. The GitHub tool REA has over 420,000 stars, but experts warn of security risks.

A smart TV showing a custom launcher on screen while a laptop displays AI-generated code on a desk.
Image: ITmedia NEWS

Modifying the software of smart appliances with AI has become a small craze. Users hand the job to AI coding agents, strip out ads and add features they want. A GitHub tool called REA, short for "Reverse Engineer Anything", has become a symbol of the trend, and it is also raising security concerns.

From smart TVs to a revived fitness mirror

One user on X said they had an AI generate new code for their parents' TV. The set was showing sponsored ads before Netflix was even opened. After being given the model number, Anthropic's Claude Code reportedly identified the TV over Wi-Fi, removed 25 Xiaomi packages and installed a new launcher. The user said the result felt like an Apple TV.

Another user revived a discontinued Lululemon Mirror, a workout mirror from the Canadian brand. They bought it second-hand, modified the software by following a method published on GitHub, and built in a Raspberry Pi to control it. The mirror now plays their own music and videos and shows the time and weather.

What REA does

Changes like these once demanded real skill, time and effort. REA is meant to lower that barrier. Once registered with an AI agent, it analyzes existing software on instruction. According to the project page, it can examine an app without source code, explain how a feature works, show evidence and build a version for the user's own project.

It works with agents including Claude Code, Codex, Cursor, Gemini CLI and Grok Build. Targets include websites, JavaScript, Android and Windows apps. The official site shows examples such as tweaking a Chrome game so its speed can be adjusted, and changing button functions in the Windows calculator. As of November 5, the project had more than 420,000 stars on GitHub.

The security worry

Critics fear that low-quality modifications could cause serious security problems. Jason Koebler of 404 Media notes that AI-replicated software often contains bugs the user does not understand or cannot fix. A flood of such software could put vulnerable code on important hardware and lead to hacked devices and networks, he warns. He also expects hackers to try to slip malware into the process, and says the impact will reach even people who do not use or like AI.

Apps worth a look

SUMO: the number puzzle

Tap the right tiles, add them up, hit the target. Easy to learn, hard to master. Free, for all ages.

Tags:reareverse engineeringclaude codegithubsmart tvsecurity

More from this day

See all →

More in: AI

See all →