Welcome to AI LABS, your go-to source for the latest AI tools and models for coding. We explore how AI can save you time in building full-stack applications, making your development process faster and more efficient. Stay up-to-date with our in-depth reviews of the newest AI models, where we evaluate whether they’re worth your time. Whether you're a beginner or an experienced developer, we help you discover the best AI tools and models tailored to your needs. AI LABS is a collection of open-source tools, packages, and learning resources focused on practical AI and developer tooling.
AILABS-393 produces:
- Lightweight npm packages, utilities, and demos for working with LLMs and AI tooling.
- Video tutorials and walkthroughs on our YouTube channel to teach practical AI engineering.
- Opinionated examples and templates to help developers ship AI features quickly.
If you're looking for simple, consumable building blocks for AI projects and clear video explanations — you're in the right place.
Install packages published by AILABS-393:
# install a package (replace <package-name> with the package you want)
npm install <package-name-from-ai-labs-393>
# or
yarn add <package-name-from-ai-labs-393>This repository is the central place for links and documentation to our projects. Each project should have its own subfolder or repository with a dedicated README showing:
- Purpose and status
- Installation
- Examples
- API / CLI usage
- License
We publish step-by-step video tutorials and short explainers on the AILABS-393 YouTube channel. Playlists typically match the projects and packages we maintain so you can follow along and code from scratch.
Subscribe and check playlists:
We welcome contributions! A typical contribution flow:
- Fork the repository.
- Create a branch:
git checkout -b feature/your-feature
- Make your changes, add tests and docs.
- Commit and push:
git push origin feature/your-feature
- Open a Pull Request describing the change.
If you like our work, support us via Buy Me a Coffee ☕☕
Released under the MIT License.
Thank you for visiting AI LABS — contributions, feedback, and collaboration are always welcome!
Happy Coding :)
