Cloudflare Developers
Welcome to the Cloudflare Developers YouTube channel! Here you will find tutorials created by Cloudflare developers, to help all ...

Build an AI Agent Fake Photo Booth for your Real Friends
The speaker walks through building and testing an AI-powered Photo Booth app, starting with gathering inspiration from Replicate’s explore page and experimenting with a Cream-based image synthesis model that can stitch multiple inputs into a scene. They design a modular, agent-driven architecture (hub, booth agents) with client-side RPC, workflows for durable task execution, and a local-first development workflow (including testing locally and via Cloudflare tunnels). The project explores real-time state updates across clients, handling image uploads and face processing, and ends with reflections on user testing, deployment considerations, and sharing the AI-driven build process and outcomes.

Build Dynamic AI Routes with Cloudflare AI Gateway
The video demonstrates how Cloudflare's AI gateway dynamic routing can quickly implement per plan, per user logic for SAS pricing, including rate limits, budgets, and model differentiation, without building a complex routing system from scratch. It also shows a live flow builder and a real-time demo comparing free versus paid users.

Mount Cloud Buckets, Locally In Containers (ft. S3, GCS & R2)
The video walks through mounting remote buckets (S3, GCS, and Cloudflare R2) into a Cloudflare container using Fuse via Tigris FS, demonstrated with the Mountain Party project. It covers setting up dashboards, configuring credentials, writing a startup script, building a Dockerfile, deploying the worker/container, and validating the mounted remote file system in the browser and container. The presenter also highlights practical uses and tips for bootstrapping tools and secrets for stateless containers.

TanStack Start & Cloudflare D1: The Modern Full-Stack (The Vibe Sessions #1)
Episode one of Vibe Coding walks through building a minimal VIP suggestion box app using Cloudflare D1 for storage and Workers for deployment. The host guides spec-driven development, creates migrations with Drizzle, sketches the frontend in plan mode (anonymous submissions, upvotes, IP-based limits, and no admin UI), and iterates from backend scaffolding to a deployable front-end, highlighting lessons on balancing LLM help with manual checks and context management.

Building a Scalable Click Tracker with Cloudflare Pipelines
Craig, a developer educator, introduces Linked Out, a system to host content pages and share links with built-in analytics. He walks through the end-to-end workflow: a front-end click event captured in a Hono app, streamed to a sync (R2 data catalog) via an event pipeline, with dashboards for link tracking, live previews, and editable content, including notes on using AI-assisted beacon tracking and the goal of fast, non-blocking reporting.

Migrating a Blog from Managed to Self-Hosted on Cloudflare Workers
A live walkthrough of migrating a personal blog to Cloudflare using Astro, covering motivations, setup, content migration, UI design experimentation, and the lessons learned from attempting to run AI-assisted design on stream.

Watch an AI Agent Learn to Fly a DJI Tello. Will it work?
A Cloudflare developer walks through a live demo where an AI agent, powered by Moonream, controls a DJI drone using a game controller and a multi-agent system. The video covers the end-to-end setup, from connecting to the drone over Wi-Fi and streaming its camera to the agent, to the architecture of the agent-controller framework and how commands are generated and executed. It ends with a call to the GitHub repository, documentation, and ideas for future agent-driven projects.

OpenCode is a remedy for FOMO
Zeke introduces Replicate as part of Cloudflare and shares a focus on building a top AI platform while addressing the fear of missing out in the fast-evolving Cloudflare ecosystem. He highlights Open Code, an open-source AI coding agent, and demonstrates how it integrates with Cloudflare’s developer tools, enabling model-agnostic experimentation, planning, and code generation both in the cloud and locally.

MoltWorker is Real
The video explains how to run Modbot/OpenClaw on Cloudflare Workers, enabling a secure, serverless AI agent accessible via multiple chat apps and with persistent memory and web browsing capabilities.

Deploy OpenClaw (Moltbot) to Cloudflare Workers: Step By Step Guide
The video walks through creating and deploying a Moldbot/Open Cloud assistant on Cloudflare Workers, including setting up repositories, API keys, and Moldbot gateway tokens. It covers enabling Cloudflare Access, wiring up R2 storage for backups, pairing the gateway, deploying the worker, and cost-saving optimizations like sleep intervals and using smaller instance types. By the end, you have a running, cloud-based AI aide with persistent storage and a guarded access layer.

Run OpenClaw on Workers
The video/game‑show style talk centers on Cloudflare’s experimentation with AI agents, Open Claw/Molt/Molt Worker, and the evolving ecosystem of primitives, sandboxes, and integrations. The hosts discuss naming histories, how Open Claw functions as an agent with sensors, actuators, and messaging integration (Telegram/Slack), and explore architectural ideas like zero‑trust access, R2 storage, browser rendering, AI gateway, and deploying demo pilots (including Terraform, Docker sandboxes, and live demos) while reflecting on security, adoption, and the blog as a deeper technical resource.

Securely Access OpenClaw with Workers VPC
The video demonstrates how to run OpenClaw on a Raspberry Pi and securely access it from anywhere using Cloudflare Workers VPC and Cloudflare Access. It covers configuring the VPC tunnel, deploying a Cloudflare Worker, setting up gateway tokens and JWT validation, and securing the OpenClaw UI while enabling a remote chat/interface experience. The presenter walks through practical steps, from initial setup to production deployment, and emphasizes keeping credentials and access tightly controlled.
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