Videos

Sam introduces Docker2Dagger, a tool that converts Dockerfiles into fully functional Dagger modules using AI. By leveraging an LLM, it translates Dockerfile syntax into Go-based Dagger pipelines, making it easy to bootstrap new modules.

This demo introduces Dagger Cloud v3, the latest upgrade to Dagger Cloud, featuring a new WebAssembly-based UI for better performance and seamless navigation. The updated interface streamlines workflows, improves log handling, and enhances visibility into your CI’s traces and execution timelines.

Solomon shows us how Dagger can be used to build agentic applications. By integrating with LLMs and tool calling, he shows how Dagger enables modular, scalable AI agents instead of monolithic architectures. This demo includes real-time examples of AI-enhanced pipelines, multi-agent collaboration, and dynamic tool orchestration.

Learn how to supercharge Dagger on GitHub Actions! Stock runners don’t persist Dagger’s cache, but with Depot’s Dagger Powered runners, you get optimal performance without the hassle of self-hosting. Watch to see how easy it is to integrate Depot into your workflows!

Watch these steps to see how easy it is to connect Dagger Cloud to Depot and GitHub Actions for faster, cache-persistent CI/CD workflows. Unlock optimal performance with minimal setup.

Dagger’s new Secrets Provider architecture takes secret management to the next level, integrating seamlessly with tools like Vault and 1Password. In this video, we show how to securely manage secrets across CI pipelines with just-in-time resolution—no extra binaries required!

Gerhard Lazu demonstrates how to streamline CI/CD workflows using Dagger and Depot. Learn how to set up Depot runners for GitHub Actions, unlock seamless Dagger Cloud integration, and deploy complex stacks with ease. With builds running up to 3x faster and caching that keeps you in the flow, this demo is packed with practical insights to level up your pipeline.

In this video, Solomon Hykes, co-founder of Dagger, embarks on an exciting experiment to teach an AI (specifically ChatGPT) how to use the Dagger Shell, a new, powerful, and intuitive way to interact with the Dagger CLI. Solomon walks through creating interactive pipelines, exploring Dagger modules, and demonstrating how the AI can run commands, fetch knowledge, and even self-correct by using the Dagger API. Along the way, he shows how Dagger can be used as an agent to enhance automation and improve developer workflows.

Sam demonstrates how to use NVIDIA GPUs in Dagger pipelines for efficient and cost-effective workloads. By deploying a Dagger engine on Fly.io with GPU support, Sam showcases running inference tasks on an NVIDIA GPU while keeping the setup secure via VPN and caching to optimize performance.

Vincent and Thomas from Ubisoft demonstrate how they leverage Dagger to improve CI workflows for Unity projects and internal tools. They share practical examples of simplifying builds, managing Unity licenses, and testing backend services locally using containerized environments. Check out how Dagger is integrated into Ubisoft’s pipelines to boost efficiency and modularity.