Ah, AI. It’s everywhere. Often the wrong questions are asked and answered in general and tech media. The real question is what problem will it solve—and how well.
This news comes from Copia Automation who attempts to solve the problem of how controls engineers write, manage, and document industrial code.
As the first step in Copia’s vision of integrating AI into industrial automation, Copia Copilot enhances productivity, efficiency, and quality by automating routine coding tasks, simplifying complex processes, and equipping industrial workers with the tools they need for successful knowledge transfer and onboarding.
Core Capabilities
- Code documentation: Automatically create well-structured, clear documentation for PLC and other industrial code, reducing manual effort and ensuring consistency.
- Code translation: Seamlessly convert between Ladder Logic and Structured Text, making it easier to work across different programming languages.
- Code summarization: Quickly understand what a set of code does by asking the Copilot to explain it.
- Code modification: Improve, format, or troubleshoot existing code, allowing engineers to streamline their workflows and enhance code quality.
- New code generation: Generate boilerplate routines and custom code blocks for common automation tasks, saving time and accelerating development cycles.
- File referencing: Easily reference PLC project files from Copia repositories for more accurate and context-aware AI outputs.
Copia Copilot is currently available as part of an Alpha release, with plans to expand its functionality and reach in the coming months.
