Speed Up Builds with Depot Cloud Builders (2026)

Depot Cloud Builders don’t actually build your code faster; they speed up your build by making the process of distributing and executing builds across many machines so efficient that it feels like your code is building faster.

Let’s see what this looks like. Imagine a common Docker build. Normally, you’d run docker build . on your local machine. This involves:

1. Context Upload: Your local machine zips up your entire build context (all files in the current directory and subdirectories). This can be megabytes or gigabytes.
2. Image Build: Docker on your machine reads the Dockerfile, pulls base images, executes RUN commands, copies files, etc. This is CPU and I/O bound.
3. Image Push: Once built, the resulting image is pushed to a registry (like Docker Hub or your private registry). This is network bound.

Now, with Depot, the workflow changes dramatically. You run depot build .. Here’s the magic:

1. Depot CLI: The Depot CLI on your machine doesn’t zip up your context. Instead, it establishes a secure connection to Depot’s build infrastructure.
2. Distributed Build: Depot orchestrates the build across its fleet of powerful build machines. It intelligently determines which parts of your build context need to be sent to which builder, minimizing data transfer. The actual Docker build commands are executed remotely on these machines.
3. Artifact Delivery: The final Docker image is built and pushed directly from Depot’s infrastructure to your specified registry.

Here’s a depot build command in action, pushing to Docker Hub:

depot build \
  --project "my-app-builds" \
  --dockerfile "Dockerfile" \
  --tag "my-dockerhub-user/my-app:latest" \
  --push "docker.io/my-dockerhub-user/my-app:latest"

The --project flag organizes your builds within Depot. --dockerfile specifies your Dockerfile. --tag applies a tag locally (though in this distributed scenario, it’s more for informational purposes on the Depot side). The crucial part is --push, which tells Depot to push the final image to the specified registry directly from its build environment.

The mental model you need to build around Depot is one of a highly optimized, remote build execution engine. It’s not just about running docker build on a beefier machine; it’s about a fundamental shift in how build artifacts (like Docker images, npm packages, or compiled binaries) are created and distributed. Depot manages the underlying infrastructure – the machines, the networking, the orchestration – allowing you to focus on your application code.

Think of it like this: Instead of your laptop doing all the heavy lifting for a massive construction project (building a skyscraper), you’re sending detailed blueprints to a specialized construction company with an army of workers, cranes, and materials already on-site. They do the actual building, and you just receive the finished product. Depot handles the "construction company" part for your software builds.

The most surprising thing most people don’t realize is that Depot’s builders are stateful per build context. This means that if you have multiple build steps that depend on each other within the same depot build command, Depot can intelligently cache intermediate layers or build artifacts between those steps on its build machines. It’s not just about parallelizing independent builds; it’s about optimizing sequential dependencies within a single, complex build job, making it much more efficient than repeatedly building from scratch on separate machines.

The next logical step after speeding up your Docker image builds is to integrate this into your CI/CD pipeline to automate the process on every code change.