Demo showing how to use the OpenAI Realtime API to navigate a 3D scene via tool calling

Fun project: LLM powered RAG Discord Bot that works seamlessly on CPU

The open source Tines / Splunk SOAR alternative for security and IT engineers. Built on simple YAML templates for integrations and response-as-code.

A collective list of free APIs

Ohayou(おはよう), HTTP load generator, inspired by rakyll/hey with tui animation.

✅ The Node.js best practices list (July 2024)

🧩 A beautiful library with SVG logos. Built with Sveltekit & Tailwind CSS.

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Open source Loom alternative. Beautiful, shareable screen recordings.

BuildShip Docs - Visually create workflows and backend cloud functions with low-code and AI.

Low-code backend platform. Manage database on spreadsheet-like UI and build cloud functions workflows in JS/TS, all in your browser.

Next SEO is a plug in that makes managing your SEO easier in Next.js projects.

🏓 The open-source synthetic monitoring platform 🏓

The DevEx & Application-layer for your Internal Developer Platform ⛵

Layer5 Design System

👩🏿‍💻👨🏿‍💻👩🏾‍💻👨🏾‍💻👩🏽‍💻👨🏽‍💻👩🏼‍💻👨🏼‍💻👩🏻‍💻👨🏻‍💻CNCF Community Groups (formerly meetups)

JavaScript Style Guide

Image Hub is a sample application for exploring WebAssembly modules used as Envoy filters.

Infrastructure as Diagram delivered to your pull requests.

Extracts the cypress Test Summary from json file and convert it to cypress markdown summary table

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

The Bluesky Social application for Web, iOS, and Android

Clean Code concepts adapted for JavaScript

Source code for Twitter's Recommendation Algorithm

Layer5, expect more from your infrastructure

Workload Discovery on AWS is a solution to visualize AWS Cloud workloads. With it you can build, customize, and share architecture diagrams of your workloads based on live data from AWS. The soluti…

📜 33 JavaScript concepts every developer should know.

Homebrew Tap for for installing Meshery command line client.

Create a web app to interact with machine learning generated image captions