Smart TV owners are increasingly deploying autonomous artificial intelligence agents in their living rooms, tasking them with ripping out invasive sponsored advertisements, aggressive tracking software, and the chronically sluggish home screens that manufacturers ship by default.
The phenomenon, which exploded across social media platform X over the weekend, has quickly acquired a distinct moniker within the developer community: vibe coding your TV. What began as a frustrated developer tinkering with his family’s hardware has rapidly snowballed into a widespread open-source movement, capturing the attention of thousands of users eager to reclaim control over the hardware sitting in their living rooms.
The most widely shared case involved a Xiaomi television owned by the parents of a developer named Gathin. Posting on X on Saturday, Gathin explained that the set insisted on displaying a sponsored advertisement before anyone could even navigate to Netflix. Fed up with the intrusive user experience, he fed Claude Code, Anthropic’s advanced coding agent, the television’s specific model number and let the software go to work.
The AI agent successfully located the television on his home Wi-Fi network, systematically switched off 25 individual Xiaomi software packages responsible for bloat and tracking, and wrote a brand-new home screen launcher from scratch. The result, as Gathin noted in his viral post, was an interface that "looks like an Apple TV now lol."
Anyone who has purchased a modern television over the last decade likely lives with a similar operational friction, because many mainstream sets now run Automatic Content Recognition, commonly known as ACR. This background software continuously fingerprints whatever appears on the display—including broadcast cable, video game consoles, and external streaming devices plugged into any HDMI port—and reports that viewing data back to the manufacturer. This data collection enables makers to serve hyper-targeted advertisements and monetize user habits long after the initial point of sale.
The practice has drawn intense scrutiny from regulators and legal authorities alike. In December 2025, the State of Texas filed a major lawsuit against five major television manufacturers—Sony, Samsung, LG, Hisense, and TCL—alleging that their modern smart displays are capable of capturing high-resolution screenshots of what consumers are watching every 500 milliseconds, or twice every second.
Regulators have been attempting to curb these intrusive data practices since at least 2017. That year, Vizio agreed to pay a $2.2 million financial settlement to federal regulators to resolve allegations that the company had secretly collected detailed viewing data from 11 million television sets without securing proper consumer consent. However, the regulatory penalty did little to deter the broader industry trend. The business model proved resilient enough that retail giant Walmart completed an acquisition of Vizio for approximately $2.3 billion in 2024, with corporate executives explicitly highlighting the television maker’s profitable, fast-growing advertising division as a primary driver of the deal.
In practical terms, this means that the modern television a consumer purchases with their own hard-earned money continues to generate secondary revenue for corporate entities every single time it is powered on.
The underlying methodology driving the current living room overhaul—vibe coding—refers to the practice of describing a desired software outcome in plain, conversational language and letting an AI agent write, execute, and troubleshoot the underlying code. The term was coined by OpenAI co-founder Andrej Karpathy in 2025. Earlier this month, software hobbyists and gamers similarly utilized Claude-based agents to deeply reverse engineer video games, producing unexpected mashups such as embedding the entirety of Minecraft inside Elden Ring.
Claude Code has emerged as the crucial technical catalyst for these television modifications because the agent is capable of autonomously typing and executing command-line instructions on a connected computer. Modern Android-based television sets ship with the Android Debug Bridge, or ADB, a standard system maintenance tool. Once a user unlocks developer mode on their television by repeatedly tapping the "Build" number seven times within the settings menu, a networked computer can establish a direct administrative bridge to the set.
The AI agent enters through this digital doorway, generates a comprehensive inventory of every installed application, and systematically identifies which packages are serving unwanted advertisements or running telemetry services—the background software that continuously transmits usage data back to corporate servers.
Gathin packaged his custom prompt into an open-source project hosted on GitHub called "cleanyourtv." Rather than permanently deleting system files, the project strategically disables unwanted software packages, ensuring that a single restore script can easily revert the television to its original factory state if necessary. Crucially, the process does not require "rooting," the often risky procedure of unlocking full administrator privileges on a device. By Tuesday, the repository listed successfully tested setups for 107 distinct television models spanning 37 different brands, garnering thousands of bookmarks on GitHub. On his donation page, Gathin noted that several thousand individuals had mirrored the process on their own domestic hardware within a span of just two days.
Other developers quickly demonstrated that the capabilities of AI-driven modifications extend far beyond simple debloating. Mihir Gupta successfully replaced his television’s sluggish 192-megabyte stock launcher app with a streamlined, custom 83-megabyte alternative. Meanwhile, user Ansub Khan reported that available memory on his parents’ aging Android TV increased by approximately 90 percent after the AI agent purged unnecessary background processes. Another developer, Ryan Doyle, simply fed Claude his television’s commercial product listing, asked if the agent could modify it, and ultimately produced a custom screensaver displaying his real-time business revenue and incoming Stripe payments.
More ambitious users pushed the boundaries of aesthetic customization even further. Rod Pers replaced the standard corporate advertising interface with a live, interactive 3D model of his apartment, configured so that the virtual representation mirrored the real-time status of his physical home’s lights and ceiling fans. Adrian Friend constructed a minimalist user interface utilizing the animation authoring tool Rive, while others reported successfully cleaning up television sets for elderly relatives to dramatically simplify their daily viewing experiences.
A rival open-source project named "dumbtv" specifically targets Amazon Fire TV devices. The project disables roughly 65 internal system packages, including the native ACR telemetry software, before installing a lightweight 41-kilobyte launcher completely devoid of internet permissions. The project’s blunt mission statement promises users "your apps, your HDMI inputs, a clock, and nothing else."
Despite the enthusiasm, compatibility varies significantly across the broader smart TV ecosystem. The cleanyourtv utility functions reliably on Android TV and Google TV hardware produced by manufacturers such as Sony, TCL, Hisense, Philips, and Xiaomi. However, Samsung’s Tizen operating system and LG’s webOS rely on entirely different software architectures, while Amazon Fire TV implementations currently only permit the cleanup phase of the modification process.
For LG television owners, users have executed various debloating routines, though comprehensive interface overhauls remain limited compared to the Android ecosystem. Even so, these privacy-focused adjustments are viewed as a major victory by security-conscious consumers. Cybersecurity researchers have previously demonstrated how certain LG television software architectures can secretly pinpoint user locations, capture voice conversations, and harvest other sensitive telemetry data even when the physical television appears to be completely powered down.
The trend is not without its risks, and improper execution can lead to severe hardware malfunctions. One user reported that an autonomous agent attempting to reboot a system inadvertently uninstalled the core operating system, effectively turning the television into an expensive, non-functional paperweight—a process known in the tech community as "bricking." Another user found their system hanging indefinitely midway through a Fire TV modification script.
The documentation accompanying the cleanyourtv project explicitly warns users that network-based ADB connections are inherently unencrypted. On certain hardware firmware versions, this connection protocol can theoretically allow any device operating on the same local Wi-Fi network to seize administrative control of the television, making it crucial for users to disable debugging features once the modifications are complete. Furthermore, security researchers have previously highlighted that AI coding agents can occasionally be manipulated by hidden prompt injections, pointing to a vulnerability patched by Anthropic earlier this year where attackers attempted to trick Claude Code into exposing credentials.
Offering a more practical warning about domestic IT support, one user on X noted a final social hazard for those considering upgrading their family’s technology: if you successfully clean up your parents’ television, make sure not to explain how you did it, because they likely own a multitude of other devices with model numbers waiting to be addressed.
As of Tuesday, the cleanyourtv repository had been forked 1,200 times by the developer community, accumulating nearly a hundred open pull requests containing proposed improvements and bug fixes from volunteer contributors around the world.
Decentralized Applications (dApps)
Decentralized Applications (dApps)
Decentralized Applications (dApps)
