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AI Engineer - Learn how to integrate AI into software applications
Overview
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Explore how artificial intelligence transforms the entire software development lifecycle beyond code generation in this keynote conference talk. Discover how Large Language Models (LLMs) can revolutionize requirements engineering, software architecture design, and human-centered AI collaboration throughout the development process. Learn about the "RecBrain" system, an open-weight, fine-tuned model trained on over 44,000 real-world requirements that generates ISO 29148-compliant requirements. Examine AI-assisted architecture modeling techniques including use case modeling, domain-driven design workflows, and event storming simulations. Analyze real case studies with industry partners demonstrating LLM-based architecture design applications, from ABS braking systems to large microservice architectures. Understand the strengths, limitations, and key risks of AI in software engineering while exploring why human-in-the-loop processes remain essential. Gain insights into a future vision of cooperative "engineering agents" working across the entire software engineering lifecycle, presented by Prof. Stefan Wagner, a leading researcher in software engineering and AI from the Technical University of Munich.
Syllabus
AI-Supported Software Engineering: Beyond Code |Stefan Wagner | Technical University of Munich (TUM)
Taught by
SAIConference