Build Azure Logic Apps From Your Terminal Now

Microsoft's new CLI lets developers build, test, and manage Azure Logic Apps locally, streamlining automation and moving development beyond the GUI.

Microsoft has introduced a significant update for developers working with its workflow automation service, Azure Logic Apps. According to a report from InfoQ, the company has launched a public preview of a new extension for the Azure command-line interface (CLI) specifically for Logic Apps Standard. This tool shifts a wide range of development tasks from a visual interface into the terminal. Previously, creating projects, authoring workflows, managing connections, and inspecting runs required using the Visual Studio Code extension. With the new `logicapp` extension, developers can now perform all these actions—plus scaffold tests—programmatically from the command line, marking a major pivot towards a more code-centric and automated development experience for the platform.

This new Azure Logic Apps CLI fundamentally changes the development workflow by embracing an “infrastructure as code” approach. Instead of relying on a graphical user interface (GUI) with drag-and-drop components, developers can now use text-based commands to create, configure, and manage their automation logic. This process is inherently more repeatable, versionable, and less prone to human error. Microsoft is also framing this as a key enabler for AI-assisted development. An AI tool like GitHub Copilot can generate a sequence of precise CLI commands far more reliably than it can generate instructions for a human to follow in a GUI. This “determinism” ensures that the steps to build and deploy a workflow are explicit and consistent, making the entire development lifecycle more robust and auditable.

The release fits into a broader industry trend where low-code and no-code platforms are evolving to meet the rigorous demands of professional development teams. While visual builders are excellent for accessibility and rapid prototyping, they can become a bottleneck in enterprise environments that rely on sophisticated DevOps practices like continuous integration and continuous deployment (CI/CD). To be fully integrated into these automated pipelines, services need programmatic interfaces. This move brings Azure Logic Apps more in line with other mature cloud development tools, such as the AWS Serverless Application Model (SAM) CLI or infrastructure-as-code platforms like Terraform, which have long prioritized command-line control. It represents a maturation of the Logic Apps platform, bridging the gap between low-code simplicity and pro-code discipline.

For development and DevOps teams, the practical takeaway is a significant boost in efficiency and reliability. The ability to script every aspect of a Logic App’s lifecycle means it can be fully integrated into automated CI/CD pipelines using tools like GitHub Actions or Azure DevOps. This eliminates manual deployment steps, ensures consistency across different environments, and allows workflow definitions to be stored and versioned in Git alongside application code. As this is a public preview, developers have an opportunity to test the new CLI and provide feedback that could shape its final form. Looking forward, we can expect to see further enhancements to the tool and potentially the adoption of similar CLI-first approaches across other low-code services, both within Azure and from other cloud providers, as the demand for enterprise-grade automation continues to grow.

For developers and DevOps engineers, this new CLI fundamentally changes how Azure Logic Apps are built and managed. It shifts development from a manual, GUI-based process to a scriptable, automated one, making it possible to integrate Logic Apps into modern CI/CD pipelines for more reliable deployments.

This update can accelerate development cycles and reduce deployment errors for companies using Azure Logic Apps. By enabling automation and version control for workflows, businesses can improve developer productivity, ensure consistency across environments, and lower operational overhead.