AI Coding Workflow That Stops Hallucinations (Embedded Dev Tutorial)

Learn the AI coding workflow embedded engineers use to reduce hallucinations, maintain context, verify builds, and create reliable production-ready firmware with LLMs. Most engineers using AI for embedded development are one prompt away from a hallucination disaster. In this video, Craig Wenger breaks down the exact AI workflow he uses daily to write production embedded code with LLMs — without losing context, breaking builds, or fighting random hallucinations. Instead of relying on fragile prompts, Craig uses structured “contracts” that persist across long sessions and force the model to stay grounded in the real hardware environment. You’ll learn how to: ✔Reduce AI hallucinations in coding workflows ✔Use structured markdown contracts instead of prompts ✔Keep LLMs aligned across long embedded sessions ✔Implement mandatory build verification after every change ✔Create handoff documents for seamless session continuity ✔Force better AI outputs using detailed reporting techniques This workflow is especially useful for: ✔Embedded systems engineers ✔Firmware developers ✔ESP32 / STM32 developers ✔AI-assisted programming ✔Production embedded projects ✔Engineers using ChatGPT, Claude, or coding agents What We Cover ✔Why prompts fail on embedded projects ✔Building an agents.md contract system ✔Mandatory build verification workflows ✔Session continuity with handoff documents ✔The reporting trick that dramatically reduces hallucinations 📌 Learn more about Embedded Engineering Solutions: 🌐 https://www.eesaz.com 📩 Contact us: https://eesaz.com/contact-embedded-engineering-solutions-llc/ 🔗 Follow us on LinkedIn: https://www.linkedin.com/company/embedded-engineering-solutions 🎥 Check out the recent videos 🎦 🔗https://youtu.be/zIAkHA8VeUc?si=8Hwquuu6aox6PZdv 🔗https://youtu.be/4pHKBzFltjo?si=Ek_JBm4EvgMSDUW4 🔗https://youtu.be/CDKJAru9ezE?si=_p66P4xNiKu7hj1W ============= 🔔 Subscribe & Stay Tuned: for more practical insights on embedded systems, product development, and engineering best practices. 👉To Subscribe:https://www.youtube.com/@ees_content?sub_confirmation=1 ============= ⏱️ Chapters: 00:00 — Introduction: prompts vs contracts 00:30 — Why LLMs need hardware context 01:30 — The agents.md file explained 02:30 — Starting prompts and active code locations 03:00 — Mandatory build checks after every change 03:30 — The handoff document workflow 04:00 — Why redundancy is intentional 05:00 — The reporting trick that changes everything 🔎Hashtags #AI #EmbeddedSystems #ChatGPT #Firmware #AIProgramming #EmbeddedDevelopment #CodingAI #LLM #ESP32 #STM32 »»————-THANK YOU————-«