
AI Debugging: Faster, Safer Code for Students & Teams
AI debugging blends static analysis, LLM repair, and fuzzing to ship faster, safer code—integrated into your IDE/CI, with visuals, sample code, and references.

AI debugging blends static analysis, LLM repair, and fuzzing to ship faster, safer code—integrated into your IDE/CI, with visuals, sample code, and references.



When designing or testing a radiant heating element — whether it’s part of an oven, a lab heater, or a custom prototype — it’s crucial to understand how input power, surface emissivity, and convective losses affect its final temperature and efficiency.
To make this analysis simple and visual, I built an interactive web app that models the energy balance of a heater and displays both the temperature curve and the heat flow breakdown.






A full-cycle engineering service provider & learning platform with focus on sustainable industry sectors with the aim to educate and support students and companies.






Copyright © 2025 WiredWhite. All rights reserved.
There was a problem reporting this post.
Please confirm you want to block this member.
You will no longer be able to:
Please allow a few minutes for this process to complete.
