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defang

Defang is a developer-oriented cloud deployment command-line tool (CLI) whose core philosophy is "develop once, deploy anywhere." It can quickly deploy standard Docker Compose projects to cloud platforms such as AWS, GCP, Azure, and DigitalOcean, and ensures that code and secrets always remain within the user's own cloud account. Defang provides an MCP Server, enabling cloud deployment directly in IDEs such as Cursor, Windsurf, VS Code, and Claude; it also provides a Claude Code plugin that guides deployment through the /defang:deploy command. The CLI also has built-in AI integration, allowing services to be generated via defang generate, and supports starting services with defang compose up. Installation methods include Homebrew, Shell script, Go, Nix, winget, PowerShell, Docker Hub, and NPX, among others. The CLI supports command completion for Bash, Zsh, Fish, and PowerShell, and deployment behavior can be finely controlled through a large number of environment variables.

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About this tool

Defang is a developer-oriented cloud deployment command-line tool (CLI), focused on "Develop Once, Deploy Anywhere," with the goal of enabling developers to quickly migrate applications from Docker Compose to a secure and scalable cloud deployment environment. According to the project information, Defang allows users to describe applications using standard Docker Compose files; the CLI validates the Compose project and uploads the project to storage in the user's own AWS or GCP account; then continuous deployment (CD) tasks run within the user's cloud account, automatically creating infrastructure, including containers, DNS, load balancing, and roles; finally, users can monitor deployment status through the Defang CLI and track or query runtime logs. Defang emphasizes that code and secrets never leave the user's cloud account; Defang is only responsible for orchestrating deployment, and all running occurs within the user's own infrastructure.

[Main Capabilities]

  1. Cloud deployment: Deploy standard Docker Compose projects to the user's preferred cloud platform, supporting AWS, GCP, Azure, DigitalOcean, or Defang itself.
  2. MCP Server: The Defang Model Context Protocol (MCP) Server is aimed at developers who use an IDE as their primary working environment, supporting seamless cloud deployment within editors such as Cursor, Windsurf, VS Code, VS Code Insiders, and Claude, without leaving the development environment.
  3. Claude Code plugin: After installing the Defang plugin, you can deploy directly in any Claude Code session without needing to use the CLI beforehand. After installation, use the /defang:deploy command to guide deployment of the project; after the Defang CLI is installed, the MCP server is automatically activated.
  4. AI integration: You can try the AI generation feature via defang generate, and start a new service using defang compose up.
  5. Command-line management: The CLI provides full access to capabilities, allowing developers to build, test, and efficiently deploy applications to the cloud.

[Usage] If you already have a Docker Compose file, you can create a new stack and deploy it. The officially recommended getting-started stepThe steps include: reading the Getting Started page, installing according to the Installing page, viewing the examples for Golang, Python, and Node.js, trying AI integration (defang generate), and starting a new service with defang compose up.

[Installation Methods] The Defang CLI supports multiple installation sources: Homebrew (brew install DefangLabs/defang/defang), Shell script (eval "$(curl -fsSL s.defang.io/install)"), Go (go install github.com/DefangLabs/defang/src/cmd/cli@latest), the Nix package manager (via Nix-Env or Flakes, for example nix profile install github:DefangLabs/defang#defang-cli --refresh, and the Cachix binary cache can be used), winget (winget install defang), PowerShell script, the official Docker Hub image (docker run -it defangio/defang-cli help), NPX (npx defang@latest help), or directly downloading the latest binary file.

[Command Completion and Environment Variables] The CLI supports command completion for Bash, Zsh, Fish, and Powershell. The CLI recognizes a large number of environment variables, used to control authentication, cloud providers, build context limits, logging, debugging, analytics, Pulumi configuration, and more. Environment variables can be loaded from a .defang file in the current directory, in the same format as a .env file (KEY=VALUE pairs, with lines starting with # as comments). In addition, after selecting a stack, the CLI makes the resolved DEFANG_PROVIDER and DEFANG_STACK values available for Compose interpolation.

[Applicable Scenarios] Defang is suitable for developers who want to manage cloud deployment workflows directly from the terminal, as well as developers who are accustomed to completing deployments within an IDE. It is suitable for scenarios where Docker Compose is already in use and the user wants to quickly deploy an application to their own cloud account, and it is also suitable for scenarios that require deployment through AI coding assistants such as Claude Code.

[Limitations and Missing Information] The materials do not provide specific pricing, the specific details of Pro users' benefits, the functional differences among cloud platforms, performance data, or effect guarantees. Some AI integration features are marked as exclusive to Pro users, but the specific pricing of Pro is not explained. Other features, supported platforms, or usage restrictions not explicitly mentioned in the materials are not provided for now.

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