Development And Debugging Tools For Microcontroller Based System Design

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Open Beta

Keil Studio Cloud

Introducing Keil Studio Cloud, a browser-based IDE for IoT, ML and embedded development. Accelerate your next project with zero-installation tools, ready-to-run examples, git integration and web debugging.

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What's next? See our roadmap

A Zero-Installation Environment That Runs in Your Browser

Keil Studio uses the latest web technology enabling you and your team to develop software from anywhere, anytime using the same standardized tooling on any host OS. Work on your project, edit code, or change the used software components - it's never been easier.

Ready-to-Run Examples

When you are in an early phase of your design, pre-built code examples let you explore different options for your target hardware.

Use the Create Project button to import the example project into your personal workspace, build, and run the project on your development board.

Web-Enabled Debugging

Using the run control debugger, you can single-step in your application, set breakpoints, examine register values, view the call stack, and check variable values.

All of this runs from your browser. Just connect the target hardware to your computer via USB and enjoy direct access to the microcontroller and its peripherals.

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Better Code with IntelliSense

Using the C/C++ language service, IntelliSense provides code completion suggestions based on language semantics and an analysis of your source code while you type. It includes code completion, parameter info, quick info, and member lists - and it knows if you have forgotten a semicolon!

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Git Integration

Direct Git integration within Keil Studio realises all the advantages of collaborative cloud-based version control without leaving your embedded development environment. Services such as GitHub offer numerous advantages, from decentralized development teams to collaboration features and issue tracking.

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Roadmap

The Next Generation of Arm Keil Tooling

Flexible new tools that support a dual cloud and desktop approach, as well as workflows both via an IDE and command line for continuous integration environments.

CI Testing

Virtual platforms simulate a complete Arm-based system, including processor, memory, and peripherals and are ideal for unit or integration tests. Tool containers allow flexible workflows that range from GitHub CI to testing code debugging with your IDE.

OTA Programming

Over-the-Air (OTA) programming is becoming an integral part of software development and lifecycle maintenance. It closes the cloud native CI/CD loop where software updates are written, tested, and staged for OTA deployment in a continuous flow.

Machine Learning

Machine learning (ML) algorithms running on Cortex-M IoT endpoint devices can use local sensor data directly and will unlock new innovative applications. Arm works with leading industry partners on a truly integrated embedded machine learning development and deployment approach.