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Container intelligence with Docker

Three guides you can follow today: building container images, using the Docker Desktop app day to day, and running a coding agent in a sandbox. The worked example is the image behind this site’s own browser labs.

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Building images

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Writing Dockerfiles that stay small and quick to rebuild, multi-stage builds that keep build tools out of the image you ship, and provenance attestations that record how an image was made. The worked example is hcw-lab, the image every browser lab on this site runs: one Dockerfile, two build targets, and every direct download checked against a pinned checksum.

  • Dockerfiles
  • Multi-stage builds
  • Provenance

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The Docker Desktop app

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Installing Docker Desktop on Windows and macOS, then using it day to day: running and inspecting containers, managing images and volumes, the WSL 2 backend and resource limits, running the lab image, and how the app relates to Docker Engine on a Linux server.

  • Install
  • Containers
  • Images and volumes

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Running an agent in a sandbox

Available now

Docker Sandboxes run a coding agent in an isolated microVM on your own machine, with only the folder you give it. The recipe points one at a landing zone from the Landing Zone Builder, so the agent can validate and explain the Terraform without ever planning or applying it.

  • Docker Sandboxes
  • Coding agents
  • Landing zones