Software Engineers for PCBs

Learn how to set up an Altium Agile Teams workspace, connect it to Altium Designer, navigate key workspace tools, and invite team members. This onboarding guide walks account administrators and new users through the core steps required to establish a shared engineering environment for project collaboration, component management, and workspace administration.

Learn how to enable bidirectional data synchronization between Atlassian Jira^® Issues and Altium 365 Workspace Tasks with Altium 365’s Jira Integration. This integration allows the remote creation of Jira Issues directly from your Altium 365 Workspace.

This video demonstrates how to revert to a previous project version in Altium Designer.

This video demonstrates how to toggle layers of a project on and off in Altium 365 for quick visualization.

In this article, we explore the transformative impact of artificial intelligence on embedded development, providing practical techniques to optimize your coding workflow. The author addresses common misconceptions surrounding overnight success stories in AI, emphasizing the importance of a solid foundation in app design and marketing. By sharing valuable principles such as planning collaboratively with AI, utilizing hardware abstraction layers, and implementing effective debugging strategies, readers will discover how to enhance their productivity and the quality of their output. Key takeaways include: - Practical strategies to effectively collaborate with AI tools in embedded development. - Techniques for improving code quality and accelerating the development process. - Insights on managing AI workflows to minimize potential pitfalls when working with hardware. Keep reading to unlock your potential and elevate your embedded coding projects with these cutting-edge practices!

Build a local‑LLM datasheet extractor to speed IC driver development. Structure PDFs into usable data, automate workflows, and enable faster, smarter firmware creation.

Turn the Analog Discovery 2 into an AI-controlled bench tool. Learn to build an MCP server on WaveForms with FastMCP and avoid common LLM driver pitfalls.

This article reviews the construction of a Model Context Protocol (MCP) server tailored for lab equipment, enabling large language models (LLMs) to autonomously manage devices like power supplies through simple voice commands or plain text instructions. It covers essential aspects such as defining functions with clarity, implementing safety precautions, and the process of wrapping lab instruments to create reliable LLM-assisted procedures. Readers will learn how to enhance their experiments with AI integration while understanding the importance of safety when interfacing with real-world hardware. - Discover how to build an MCP server that allows LLMs to control lab equipment autonomously and safely. - Learn best practices for function definition, testing, and implementing safety guardrails in your setup. - Gain insights into automating lab procedures using your voice or plain text commands, transforming the way you conduct experiments. Continue reading to explore how you can leverage AI to revolutionize your lab processes and enhance your experimental capabilities.