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Build, test, and deploy code through visual or YAML-defined CI/CD pipelines.

Build and operate WordPress, Drupal, and Next.js websites through managed environments and Git-connected workflows.

Deploy Git-managed applications to a configurable, managed cloud runtime.

A browser IDE for programming courses, with Linux project environments and an integrated terminal.

Create repeatable local development environments with a Vagrantfile and managed virtual machines.

Provision self-hosted development workspaces that developers can open through a browser IDE or desktop editor.

A cross-platform TeX editor that keeps source editing and PDF preview in one typesetting workspace.

Publish a static web frontend from GitHub or Azure DevOps with optional Azure Functions APIs.

Install Python command-line applications into isolated environments or run them once without a permanent install.

Promote releases through environments and coordinate deployments beyond the build stage.

Give groups of users access to managed Jupyter notebook environments from one hub server.

Manage Python project dependencies, virtual environments, and package metadata from `pyproject.toml`.

Publish static sites and single-page apps through a global CDN with preview channels and managed SSL.

Train, deploy, and improve AI models on integrated compute, training, inference, and sandbox tools.

Create a custom box layout and review the artwork on a shared 3D preview.

A source and web editor with built-in HTML preview, file tools and language-server support.

Model Kubernetes builds, deployments, tests, and local development as a dependency-aware action graph.

A deployment control plane that builds and runs applications in your cloud account or Kubernetes cluster.

Build and deploy full-stack web projects with Git integration and preview environments.

Write HTML, CSS, and JavaScript in a browser editor with an updating preview.

A local API-mocking desktop app and CLI for replacing live services during development and tests.

Run Python programs and isolate project packages with the official CPython interpreter.

Manage Python projects, dependencies, environments, and commands with one fast command-line tool.

Build, test, and deploy applications on Windows, Linux, or macOS build machines.