In his presentation, Jonas Tratz, an expert in generative AI, provided insights into innovative AI-supported methods used by the ASAP Group – from automated requirements analysis and test case creation to code and documentation review and cross-project analyses. The head of ASAP's Data Science & AI department, Julian Reindl, spoke in his panel discussion about the potential and challenges of generative AI in vehicles. “Time-consuming and monotonous tasks are being intelligently automated. The high standards for AI code quality and information security must be met in order to offer users the desired added value. Software developers can then concentrate on the creative tasks in their projects,” says Julian Reindl from ASAP.
The GenAI solution developed by ASAP was trained with ASAP's specific know-how and customized for automotive projects. It can be seamlessly integrated into various tool ecosystems thanks to its own interface. The AI platform can also be operated intuitively via a co-pilot, which can be integrated into development environments as a smart assistant, or via a classic web interface. The RAG pipeline also allows users to learn specific project knowledge themselves via the AI agents.
“The use of GenAI for efficient software development was a high priority at the CAR IT Symposium in Ingolstadt. We are delighted that there was so much interest in our AI solution. We are already using our solution in several customer projects, for example in the creation and validation of software functions in the context of ADAS / AD. In addition to automation and validation solutions, our GenAI platform is another essential building block for our customer projects and is continuously being further developed by our experts,” says Jürgen Meyer, Director Division Software at the ASAP Group.