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Microchip — MPLAB® AI Coding Assistant Tool

Microchip

 

Microchip MPLAB® AI Coding Assistant Tool

AI-powered code generation and real-time debugging support for faster, smarter embedded development

Microchip continues to expand its AI and machine-learning ecosystem with the launch of the MPLAB® AI Coding Assistant, an intelligent code assistant designed to simplify and accelerate embedded software development. Delivered as a Microsoft® Visual Studio® Code extension, this free tool is based on Continue – the leading open-source AI coding platform – and includes a Microchip-specific AI chatbot for real-time engineering support.

The MPLAB AI Coding Assistant helps developers write, edit, and debug code efficiently with advanced auto-completion, error detection, and automated code modification within the current file. By providing highly contextual, Microchip-aware insights, the assistant enables faster iteration and improves overall code quality.

A unique feature of the tool is its ability to generate block diagrams directly within the VS Code interface, offering visual clarity not typically available in other AI assistants. Developers also gain integrated access to searchable Microchip documentation, enabling seamless navigation through MCU, MPU, and FPGA resources.

This release is part of Microchip’s broader strategy to support AI at the edge. Complementary innovations include the PolarFire® FPGA Ethernet Sensor Bridge for AI-driven sensor processing within NVIDIA Holoscan environments, as well as partnerships with Cartesian, Edge Impulse, and Motion Gestures to simplify machine learning development across Microchip’s Arm® Cortex®-based microcontrollers and microprocessors.

Microchip also offers evaluation platforms such as the SAMD21 Machine Learning Kit (EV18H79A), featuring motion, temperature, and light sensors for data collection, training, and developing ML models at the edge.

Features

  • AI-powered code assistant integrated into Visual Studio Code
  • Microchip-specific chatbot for real-time developer support
  • Code auto-complete, error detection, and editing assistance
  • Ability to generate block diagrams directly inside the interface
  • Searchable access to Microchip documentation and resources
  • Supports Microchip MCUs, MPUs, and PolarFire® FPGA workflows
  • Streamlined ML development enabled by ecosystem partnerships
  • Free to use and based on leading open-source AI technology

Applications

  • Embedded firmware development
  • Debugging and code optimization
  • AI and ML model deployment at the edge
  • Sensor processing and ML-driven systems
  • Prototyping with Microchip MCUs, MPUs, and FPGAs
  • Machine vision, predictive maintenance, and smart IoT devices

 

Evaluation Board: EV18H79A

One of Microchip’s dedicated platforms for machine-learning development, the SAMD21 Machine Learning Evaluation Kit integrates a 32-bit MCU, on-board debugger, CryptoAuthentication™ IC, Wi-Fi® module, and multiple sensors, including motion, temperature, and ambient light, to support end-to-end ML model development.

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