F-Droid 앱 중 얼마나 AI가 만들었을까?

Table of Contents Intro The problem How to know if an app is vibe-coded? My biases Criteria / The experiment Apps Amber Aria for Misskey Atmo Engine Aves Libre Balance Baly Groceries Tracker Bati: Fitness RPG BayesianBahn BeatBridge: Bluetooth Music Binary Eye BlockDrop: Block Puzzle Braincup - Brain Training BVD CaptureCap Casio G-Shock Smart Sync Chompass - Calorie Tracker DeltaSync DuressKeyboard eQuran evcc - solar charging Fechtkarte Feeder Felicity Music Player FixupXer - URL Enhancer Flexify: Gym Workout Log Forkyz Gem Wallet: Bitcoin, USDT, BNB GeoWeather GitHub Trending & Hacker News GPTMobile GymMane Harp Hue Spill invoice, quote, delivery note KeyStoreViewer kitshn (for Tandoor) Klick'r - Smart AutoClicker Lens HRV Léon – The URL Cleaner LetterBox Libre Contacts Backup Lissen: Audiobookshelf client MainTask Mako MarketMonk: Stock Tracker Markleaf MateDroid Materialious MetaGer: Search & Browser Mihrab: Prayer Times & Quran Minesweeper MinkLauncher OpenSource motd N-Zik neutriNote CE Nextcloud Nextcloud Pantry NFC Alarm Clock NouTube NovaDial Offline Translator OPNsense Manager PCAPdroid Personal Stuff Phylax PingOff PipePipe PlainApp: Phone Web Portal Privacy Flip Queens ReadBear Relatrix ReteClock ReteKey Share To InputStick Shattered Pixel Dungeon ShelfDroid ShizuWall Simple Notes Sync Sky Map Snowdrop Suntimes Calendars TacticMaster Tallybook Tasks.org: Open-source To-Do Lists & Reminders Terminator TigerDuck TimeLimit.io Timety trale Tuisku Unciv Universal Installer UnlicenseLauncher Victoria Launcher Voxscribe - Offline Voice Input Water Sort WaveUp Wikipedia Wristotle Companion Xime IME Yubico Authenticator Some interesting observations brandonp2412 Codeberg The &ldquo;Don&rsquo;t tread on me&rdquo; apps Statistics & Conclusion I love F-Droid. I love what F-Droid stands for and I like the freedom that it gives its users. As a FOSS app maintainer I also have nothing but good things to say about the people behind the project. Maybe they&rsquo;re even a bit too nice, considering how many times repro has failed due to me forgetting to commit before building 😅. But my god is it hard to find human-written software now. Intro # The problem # Sometimes I open F-Droid just to browse. You know, maybe I&rsquo;ll find an app that solves a problem I didn&rsquo;t know I had, or maybe I&rsquo;ll find a better alternative to something I already use. And one day, while browsing, I noticed an app with an obvious and ugly AI generated icon. It&rsquo;s not on the list and I will not shame it, but it got me thinking. How much of F-Droid is AI? As someone who does programming for fun and is only a student, untarnished by honest work, I get my knowledge of what the coding world is like mostly from clickbaity YT videos and Reddit posts of CS professionals. They either describe LLMs as god reincarnate or as glorified autocomplete. Both are, obviously , wrong, but that&rsquo;s not really helpful in determining what I want to know. What is the actual state of programming nowadays? Whenever I use FOSS software, how likely it is that it has been vibe-coded by a rando in an afternoon? How to know if an app is vibe-coded? # That&rsquo;s the trick—you can&rsquo;t. Text just doesn&rsquo;t carry enough meta information for any kind of assessments to be even close to accurate. However, just as that em-dash I used in the first sentence probably triggered an alarm in your brain, there are signs. While that does make the task at hand sound fickle and dependent on happenstance, the signs, especially concerning LLM code repositories, are never too hard to find. You see, the main allure of LLMs is that they allow the developer to be more lazy. That&rsquo;s kind of the whole point! You just prompt, sit back and relax. So it should not surprise you to hear that this attitude is then reflected in everything the vibe-coder touches. Why write a README from scratch? Lol, just let the LLM do it. Do code-review? Naw, just let the LLM review its own changes and then also give it access to the repo so you don&rsquo;t even need to press the commit button. If a project was concerned with looking legitimate, it would be trivial to do such things by hand. But it&rsquo;s low effort all the way down. My biases # This part can be skipped if you don&rsquo;t care about my stance on LLMs, but I need to make my position clear to avoid contributing to the circlejerk too much. To begin with, I&rsquo;d like to acknowledge that LLMs are incredibly useful and capable. As 2026 has progressed, this has become more and more visible, but people being able to one-shot medium scale games and software in half an hour is ridiculously impressive, even if the end product is usually not very good. I also am very much in favor of software getting faster and more secure. The story of the Linux kernel development has shown that LLMs are capable of finding and sometimes even solving many types of code issues. With the pleasantries out of the way though, I have to admit I really hate LLMs and what they have done to programming, related engineering fields, and society as a whole. Their mere existence makes educating yourself and going on fun side projects much less rewarding. Like yeah , I did something, but with an LLM I could have done this in a quarter of the time. And when you do take the black pill and vibe-code, it&rsquo;s even worse. It&rsquo;s not like you did anything. The machine did that. Then there&rsquo;s the atrophying effects on human brains, their unfathomable capability for serving plausibly sounding misinformation and the climate disaster that we&rsquo;re just kinda ignoring. All very fun things to think about. Criteria / The experiment # As mentioned before, there&rsquo;s no way to effectively detect slop, so I propose a rough 3 tier system based on the aesthetics of the repo: Mostly AI This is mostly for projects that have significant LLM smells and means I expect >50% of the code is LLM authored. Any kind of agentic infrastructure automatically lands an app in this tier as I do not believe it is possible to use AI responsibly from within a coding harness. Hard to say / Mostly human / Other Occasional LLM commits either by maintainers or contributors, but mostly looks human. May have an LLM policy which permits certain uses. This tag means I expect <50% of the code is LLM authored. No signs of AI Could not find anything suspicious/Has a strict LLM policy. Note that my rating will still be quite superficial and the tiers quite loose. I did not build a &ldquo;slop detector&rdquo; or anything like that, so my decisions are based on looking at recent commits and their content along with the project&rsquo;s branding. Also note that since I have no way of knowing for sure, there may be errors. I still believe most of my findings to be accurate however. I will also not look at the history of the app. If it has existed since 2014 but recent commits are LLM authored it will be categorized as &ldquo;mostly AI&rdquo; The apps chosen were the batch of updates pushed to F-Droid on September 12, 2026. That amounted to 102 apps, which was quite a lot of work for me to go through.😅 If you just want the results, feel free to skip to the results Apps # Amber # Description: Nostr event signer for Android Repository: https://github.com/greenart7c3/Amber Rating: Mostly AI Justification: All recent commits were done with LLM, PRs accepted from agents, Claude Code and Codex infrastructure present. Aria for Misskey # Description: Dive into the interplanetary microblogging platform 🚀 Repository: https://github.com/poppingmoon/aria Rating: No signs of AI Justification: This is a hard one as commit naming and structure felt a bit suspicious, but I did not see anything else and decided to err on the side of caution Atmo Engine # Description: Animated wallpapers with Atmosphere, Glass, Canvas Sketch and playlists. Repository: https://github.com/saad-khan-rind/nosatmosphereeffect Rating: No signs of AI Justification: Hea