Rake AI

Rake AI is a cutting-edge tool designed to revolutionize the way engineers develop firmware for custom hardware. By leveraging artificial intelligence, Rake AI can write firmware that understands your PCB design and datasheets, making the development process faster and more efficient. Built by engineers from top automotive OEMs, Rake AI is poised to transform embedded development.

Rake AI offers several key features that set it apart. With PCB to Code functionality, users can upload their schematic, and the AI will detect the MCU, retrieve datasheets, and configure exact pins based on the circuit design. This eliminates the need for manual datasheet diving, saving time and reducing errors. The Firmware Assistant is MCP-ready and datasheet-aware, supporting both HAL and Register, ensuring that the firmware generated is professional and production-ready. The Build & Deploy feature allows users to build their project and flash it to the board with simple commands, going beyond traditional build scripts. Additionally, the AI Debugging feature provides context-aware debugging with deep integration, making it easier to identify and fix issues. The AI Terminal offers a reimagined shell experience, allowing users to commit changes and see updates in a natural language format.

Rake AI is particularly beneficial for engineers and developers working on custom hardware projects. It streamlines the firmware development process, reducing the time and effort required to create and debug firmware. This tool is ideal for professionals in the automotive industry, as well as for hobbyists and engineers working on IoT devices, robotics, and other embedded systems. By automating many of the manual tasks involved in firmware development, Rake AI allows engineers to focus on innovation and design, rather than getting bogged down in the details.

Rake AI is currently in development, with features like PCB to Code coming soon. The tool supports popular MCUs such as STM32 and ESP32, with plans to expand compatibility in the future. While specific pricing details are not yet available, Rake AI is expected to offer significant value to engineers looking to streamline their development workflows.

Rake AI has already garnered interest from engineers at prominent companies like Figure.ai, Intel, Verkada, Ventana Micro, tor.ai, NZXT, and Yulu. This early adoption highlights the potential of Rake AI to become a go-to tool for embedded development. As AI continues to make inroads into hardware development, Rake AI is positioning itself at the forefront of this transformation. Engineers can join the waitlist to be among the first to experience Rake AI, gaining early access and exclusive updates. With over 100 engineers already waiting for the launch, Rake AI is poised to make a significant impact on the future of embedded development.