AI × Cars

Abstract: An article about a Bosch engineer’s open-source project garnered over 150K impressions, yet only about 50 people actually forked and used it. Behind this “many spectators, few doers” phenomenon lies a structural mismatch in AI tool adoption — the people who truly need AI tools don’t know how to use GitHub, and the people who know GitHub don’t need generic tools. The ceiling of any AI tool is determined by the domain depth of the person injecting knowledge into it, not by AI’s capabilities alone. ...

Abstract: Bosch Lead Engineer Thejeswarareddy R open-sourced an agent system that systematically injects automotive engineering standards into Claude Code, covering 75+ skill categories. I forked it and added autonomous driving safety standards (ISO 21448/34502/4804, etc.), upcoming mandatory Chinese national standards, and in-depth SOTIF engineering practices. This article breaks down the project’s architectural highlights and my additions. Figure 1 If you are a junior functional safety engineer in the automotive industry, you have almost certainly lived through this scenario: ...

Abstract: In March 2026, Germany’s VDA published the global automotive industry’s first standardized guideline for AI quality management — VDA 20 AI in Quality Management (191 pages). This article provides an in-depth analysis of its AIQM three-tier risk classification, 80-item checklist, and 12 application cases. It examines the reference value for China’s autonomous driving industry and explores China’s leading advantages and window of opportunity in end-to-end evaluation methodologies and data infrastructure. ...