The field of data-intensive architectures and automated software design is rapidly evolving, with a focus on developing innovative methodologies and frameworks to support the design and implementation of complex systems. Recent developments have highlighted the importance of semi-automated design approaches, autonomous communication protocol design, and model-driven rapid prototyping for control algorithms. Additionally, there is a growing interest in knowledge-based multi-agent frameworks for automated software architecture design and interactive databases for life sciences. These advancements aim to address the challenges of designing and implementing complex systems, improving the efficiency and effectiveness of software development, and enabling the creation of scalable and reliable data-intensive architectures. Noteworthy papers in this area include: Semi-Automated Design of Data-Intensive Architectures, which introduces a development methodology for data-intensive architectures. CP-AgentNet: Autonomous and Explainable Communication Protocol Design Using Generative Agents, which proposes a framework for developing communication network protocols using generative agents. OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics, which presents an ontology-based complex event processing framework for healthcare decision support.