Smart television owners are increasingly turning advanced artificial intelligence agents toward their living-room displays, instructing them to dismantle sponsored advertisements, aggressive tracking software, and the notoriously sluggish home screens that manufacturers ship by default.
The phenomenon gained massive traction across social media platforms over the weekend, quickly acquiring a defining moniker within the tech community: vibe coding your TV.
The most widely shared case involved a Xiaomi television owned by a developer’s parents. Gathin T. posted on social media that the set forced a sponsored advertisement onto the screen before users could even access Netflix. Deciding to take matters into his own hands, he fed Claude Code the television’s specific model number and let the autonomous agent get to work.
The AI agent located the television on his home Wi-Fi network, systematically switched off 25 separate Xiaomi software packages, and wrote a brand-new home screen interface that, as he described it, resembles an Apple TV.
Anyone who has purchased a television over the past decade likely lives with a similar user experience problem, largely driven by Automatic Content Recognition, or ACR. This background software fingerprints whatever appears on the display—including traditional cable broadcasts, video game consoles, and external streaming devices plugged into any HDMI port—and reports the viewing data back to manufacturers so they can sell targeted advertisements. The legal scrutiny surrounding these practices is substantial; the State of Texas filed a lawsuit in December 2025 against five major television manufacturers, including Sony, Samsung, LG, Hisense, and TCL. The legal complaint alleged that their modern smart TVs are capable of capturing screenshots of a user’s display every 500 milliseconds, translating to twice every single second.
Regulatory bodies have attempted to curb these data collection methods since at least 2017. During that year, Vizio agreed to pay a $2.2 million financial settlement to resolve federal charges alleging that the company had collected detailed viewing data from 11 million televisions without obtaining proper consumer consent. However, the penalty did little to deter the broader business model. Retail giant Walmart completed an acquisition of Vizio for approximately $2.3 billion, with corporate executives explicitly highlighting the television manufacturer’s profitable and rapidly expanding advertising business as a primary driver for the deal.
In practical terms, this means the television a consumer purchases with their own money continues to generate secondary revenue for corporate entities every single time it is powered on.
The broader concept of vibe coding—defined as describing a desired software outcome in plain, conversational language and allowing an AI agent to write, debug, and execute the underlying code—was popularized earlier by OpenAI co-founder Andrej Karpathy. Earlier in the month, independent software enthusiasts and gamers began utilizing Claude-based agents to reverse-engineer video games, yielding unconventional experiments like embedding Minecraft inside Elden Ring.
Claude Code, the advanced coding agent developed by Anthropic, serves as the critical technical driver for this new wave of television customization because it possesses the capability to independently type and execute terminal commands on a connected computer. Android-based televisions come equipped with the Android Debug Bridge, commonly known as ADB. This built-in maintenance utility allows an authorized computer operating on the same local network to interface with and control the television once a user unlocks developer mode by repeatedly tapping the build number within the device settings menu.
The AI agent establishes a connection through this operational gateway, catalogs every application installed on the system, and identifies which specific packages are responsible for serving intrusive advertisements or running telemetry services—the background software that continuously transmits usage statistics back to corporate servers.
Gathin packaged his custom command routine into an open-source project hosted on GitHub named cleanyourtv. Rather than permanently deleting unwanted system files, the project safely disables unwanted applications, ensuring that a single system restore script can revert the television to its original factory state if necessary. The approach avoids requiring root access, the potentially risky process of unlocking full administrator privileges on the hardware. By Tuesday, the project listed tested configurations for 107 distinct television models spanning 37 different brands, garnering thousands of community bookmarks. On his digital donation page, Gathin noted that several thousand individuals utilized the routine on their own home displays within a span of just two days.
Other users quickly expanded beyond basic debloating to execute more complex interface overhauls. Mihir Gupta successfully replaced his television’s bloated 192-megabyte stock launcher—the core application responsible for rendering the home screen—with a custom 83-megabyte alternative. Meanwhile, Ansub Khan reported that the available free memory on his parents’ older Android television increased by approximately 90% following the cleanup process. Ryan Doyle took a more experimental approach by providing Claude with a basic product listing for his television, asking the agent if it was capable of modifying the software, and ultimately resulting in a custom screensaver that displayed his live business revenue and recent payment transactions.
Other developers pushed the envelope even further. Rod Pers replaced standard advertisement carousels with a live, rendered three-dimensional model of his apartment, which dynamically mirrored his home lighting and ceiling fans operating in real time. Adrian Friend constructed a minimalist user interface utilizing the vector animation tool Rive, while other participants reported cleaning up displays for elderly family members who now navigate their streamlined interfaces with ease.
A rival open-source project named dumbtv focuses its efforts on Amazon Fire TV hardware, disabling roughly 65 internal software packages—including native ACR tracking frameworks—before installing a lightweight 41-kilobyte launcher stripped of internet permissions. Its functional pitch is remarkably straightforward: providing access to installed apps, physical HDMI inputs, a clock, and nothing else.
Despite the enthusiasm, compatibility remains varied. The cleanyourtv utility functions reliably on Android TV and Google TV hardware manufactured by brands such as Sony, TCL, Hisense, Philips, and Xiaomi. However, Samsung sets running Tizen and LG units utilizing webOS feature entirely different operating architectures, while Amazon Fire TV devices only permit partial cleanup procedures.
For LG television owners, community members have executed minor debloating procedures, though comprehensive interface replacements remain less common. Even so, these privacy-focused adjustments arrive as a welcome relief for security-conscious consumers. Industry researchers have previously demonstrated how LG operating systems can covertly pinpoint user locations, capture voice conversations, and harvest other telemetry data even when the physical television appears to be powered down.
The trend is not without risks, and experimental AI modifications can easily go wrong. One user reported that an automated script accidentally uninstalled the core operating system while attempting a routine reboot, effectively turning the display into an expensive paperweight and leaving them staring at a legacy Android recovery screen. Another participant found themselves stranded midway through a Fire TV modification process.
The documentation accompanying the cleanyourtv project explicitly warns users that network-based ADB connections remain unencrypted. On certain firmware versions, this vulnerability allows any connected device operating on the same local Wi-Fi network to gain unauthorized administrative control over the television, making it crucial for users to disable debugging features once modifications are complete. Autonomous AI agents are also susceptible to manipulation; cybersecurity researchers revealed that specialized hidden prompt injections could previously trick Claude Code into exposing sensitive system credentials, a software vulnerability that Anthropic subsequently patched.
Beyond technical hurdles, users have offered practical warnings regarding household deployments. As one social media user joked after modifying their parents’ entertainment center, individuals should avoid explaining the underlying mechanics to older family members, lest they demand similar AI-driven interventions for every other household appliance featuring a digital model number.
Decentralized Applications (dApps)
Decentralized Applications (dApps)
Decentralized Applications (dApps)
