Switch Dimension AI

Rebuild YouTube with AI is a live, hands-on cohort course from ByteByteGo about building and deploying a YouTube-like video site with AI coding tools. It covers decomposing the product into core surfaces, generating interface mockups, implementing React and Next.js pages, modeling data in Postgres, adding authentication and uploads, generating media, storing video with Cloudflare, and deploying with Vercel. The course also implements search and related videos with multimodal embeddings and pgvector, then discusses recommender-system limitations, watch-time tracking, AI-driven Playwright testing, and production workflows. Sessions are recorded, and enrollment includes course materials and access to the cohort recordings after the live course.

AI Engineering Lab is a free, self-paced 24-week AI engineering course developed by Zorost Intelligence AI Lab. It takes learners from Python and machine learning through deep learning, LLM internals, prompt and context engineering, retrieval-augmented generation with vector search, quantization, LoRA and DPO fine-tuning, evaluation harnesses, coding-agent harnesses, AI agents, MCP, and cloud and Databricks platforms including Azure AI Foundry, Google Vertex AI, AWS Bedrock, and Databricks. The curriculum uses one continuous fictional freight-company case study. Each week pairs a concept with a runnable Python, SQL, or PySpark artifact; from Week 3 onward, the work includes a metric and an error note. The repository contains 43 runnable notebooks, publishes the full curriculum online, requires no signup or paid API key, and states that the first eight weeks require no GPU. It is MIT licensed.

Design Studio AI is an open-source, agent-first design workspace for humans and AI agents. It supports web interfaces, slides, reports, wireframes, 3D scenes, and timeline videos; users start from a brief or template, inspect a preview, revise through chat or a manual editor, and work together on the same versioned document. The workspace provides structured flex/grid layouts, reusable design systems, 2D character motion, editable 3D scenes, BYOK text/image/speech/music/video generation, and exports including JSON, HTML, SVG, PNG, PDF, PowerPoint, WebM, GLB/glTF, React prototype ZIPs, and authorized Google Slides. It exposes REST, authenticated MCP, experimental WebMCP, and a CLI for agent access, and can run on Cloudflare or be self-hosted with Docker and persistent SQLite/files. The repository is distributed under the MIT license.

camelAI is an AI coding assistant platform built on Cloudflare Workers and Durable Objects. Each chat thread runs a coding agent in its own persistent workspace, retaining chat state and project files while providing workspace-aware tools. The platform connects to APIs, databases, email, Slack, Discord, and other services; supports application builds, notebook analysis, and SQL execution in isolated short-lived sandboxes; and provides previews and publishing through Workers for Platforms. Its agent harness is built on pi's lower-level agent-loop and state-management libraries. The agent uses native file tools and writes JavaScript rather than shell commands; Code Mode executes that JavaScript in fresh V8 isolates with explicit platform and connection methods. Project files are stored in WorkspaceFilesystem Durable Objects, using Durable Object SQLite for small files and R2 for larger ones, while Cloudflare Artifacts provides Git history. Linux sandbox containers are reserved for jobs requiring them, including builds, notebook analysis, and database queries, and credentials remain outside the execution sandbox. The platform can use Anthropic, OpenAI, OpenRouter, Bedrock, and custom model endpoints. Its repository is released under the MIT License and includes local development setup using Node.js, Bun, and a Cloudflare account.