Study how Google AI Studio scaffolds a Gemini powered TypeScript project.
Use it as a starting template for a new Gemini API app.
Set a Gemini API key locally and run the default dev server to see the boilerplate working.
| javlonbek1233/kodlar | javlonbek1233/-l-clat-culinaire | javlonbek1233/aether-ai | |
|---|---|---|---|
| Stars | 42 | 42 | 42 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 1/5 | 1/5 |
| Audience | vibe coder | vibe coder | vibe coder |
Figures from each repo's GitHub metadata at analysis time.
Requires a Gemini API key set in .env.local before running.
Kodlar is a small project generated from Google's AI Studio, a tool for building apps around Gemini, Google's AI model. The repository README does not describe what the app actually does. It only contains the standard AI Studio boilerplate: instructions for running the project locally. Based on the template, Kodlar is a TypeScript web application. To run it, you install Node.js, install the project's dependencies with npm install, add a Gemini API key to a local environment file, and start it with npm run dev. A link to view the original app inside AI Studio is included, which suggests the code was scaffolded there and then pushed to GitHub, rather than written from scratch. Because the README gives no details on the app's purpose, features, or intended users, this explanation cannot say more than what is here: it is a Gemini powered app in early or minimal form, using AI Studio's default project structure. Anyone opening this repository should expect a starting point rather than a finished product. If you want to understand what the app is meant to do, you would need to read the source code directly, since the description field and topics are also empty. For a vibe coder or beginner, this kind of repository is mainly useful as a reference for how AI Studio scaffolds a Gemini based TypeScript project: which files it creates, how it wires up the API key, and what the minimal dev workflow looks like. It is not yet a usable product on its own.
A minimal Gemini powered app scaffolded by Google AI Studio, with no README description of what it actually does.
Mainly TypeScript. The stack also includes TypeScript, Node.js, Gemini API.
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.