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Within the CeCaS project, we as TUM Chair of AIR are focusing on two key areas aimed at revolutionizing automotive development workflows. The primary goal is to implement an automated toolchain that translates textual requirements into executable code while ensuring compliance with automotive standards. By leveraging cutting-edge Large Language Models (LLMs) in synergy with traditional model-driven engineering, our solution accelerates vehicle software development and reduces the time and effort needed for standardization and code generation. In addition, we are developing a flexible testbench that integrates physical vehicles with a simulation environment, enabling rapid prototyping for autonomous driving systems. This reduces both the cost and complexity associated with testing and development, ensuring quicker adoption of research outcomes in the automotive industry.