Live Webinar
Intelligent Driver Development with LLM Context Engineering
March 19, 1 pm EDT
Developing even simple sensor drivers can consume valuable engineering time, requiring manual transcription of registers from datasheets into code—an error-prone and repetitive process.
In this webinar, you’ll learn how advances in LLM context engineering are changing that workflow. We’ll demonstrate how coding agents can be equipped with structured knowledge —from PDFs and markdown documentation to planning-agent-driven web research, to automatically generate user-space I²C sensor drivers on Linux using a Raspberry Pi.
Attendees will gain practical insight into:
Attendees will gain practical insight into:
- How AI coding agents can be trained with domain-specific context
- How to integrate internal documentation and external research into LLM-driven development
- How AI-generated drivers compare to traditional development approaches
- Where this approach delivers measurable time savings and reduced engineering risk
By the end of the session, you’ll understand how AI-assisted development can eliminate low-value busywork, accelerate time-to-market, and allow engineering teams to focus on higher-level system innovation.
To register, please submit the form:
About The Presenter
Justin Noel
ICS
Justin Noel is a Senior Software Architect at ICS, with over 20 years of experience in developing and maintaining complex software systems. His strong leadership and technical skills enable him to successfully guide teams and solve challenging engineering problems. As a technical trainer for over two decades, he has taught Qt/QML, UX/UI and embedded software courses as well as presented at numerous international conferences. Justin earned his bachelor’s degree in Computer Engineering Technology from Northeastern University.