Analysis updated 2026-06-24
Run the AI Studio export on your own machine to view the app
Study it as a tiny Gemini-powered starter project
Fork the assignment and replace the prompt to make your own variant
| javlonbek1233/amaliy-ish-8 | 732124645/promptops | adiao1973/librobotbagfix | |
|---|---|---|---|
| Stars | 31 | 31 | 31 |
| Language | — | Go | C++ |
| Setup difficulty | easy | easy | hard |
| Complexity | 1/5 | 3/5 | 4/5 |
| Audience | vibe coder | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Needs a personal Gemini API key in .env.local, otherwise npm run dev starts but the app cannot call the model.
This repository, named Amaliy-ish-8, is a small project that was exported from Google's AI Studio. The repo name is Uzbek and roughly translates to "practical work 8", suggesting it is a course assignment rather than a polished product. It has 31 stars, and the primary language is not reported by GitHub, which usually means the source tree is tiny or made up of files GitHub does not classify. The README is simply the boilerplate page that AI Studio produces when you export an app. It does not explain what the app actually does, what prompts it uses, or what user interface it presents. The repo description on GitHub is also just the name of the project repeated, so there is no extra context from that side either. The only practical content in the README is the local-run section. You need Node.js installed on your machine. From there, run npm install to fetch dependencies, open the .env.local file and put your own Gemini API key into the GEMINI_API_KEY variable, then run npm run dev to start the development server. After that you can open the app in a browser the way the dev server prints out. There is a link in the README pointing back to the original app inside AI Studio at ai.studio/apps/3b4bb1f8-c95b-4797-a842-a7489ec53d9e. That page is presumably where the source was generated and where you can preview the live behaviour without cloning anything. The fact that the README links straight back to AI Studio, and that the repo only has 550 characters of documentation, both fit a freshly exported student project that has not been further written up. If you want to understand what the app does, you will need to either open it inside AI Studio at the link above or clone the repo and read its source code directly. The Gemini API key requirement also means that running the app will use your own Google Gemini quota.
Small Google AI Studio export that runs locally against the Gemini API. README is the default template, name suggests an Uzbek course assignment 8.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.