Rewriting Software with AI: Agents, GenAI & What’s Next?
AI isn’t just changing software development—it’s rewriting the playbook. From coding assistants to autonomous agents, AI is becoming a core part of how we build, integrate, and evolve software. But what does that mean for developers, and how does the software stack need to adapt? In this panel, we’ll dive into real-world lessons from building AI-powered dev tools, agent frameworks, and enterprise AI systems—unpacking what works, what doesn’t, and what’s next in AI-native development.
Speakers
Malith is the head of research and AI at WSO2, orchestrating the company's AI initiatives and research efforts. He is instrumental in developing AI strategy and creating AI-powered product features, fostering a culture of innovation among the AI team for seamless project progression from inception to delivery. Malith also engages in collaborative research with academic institutions, aiding the advancement of computer science. He is a regular speaker at prominent developer events such as DeveloperWeek, the Global Big Data Conference, and DEV DAY, sharing insights and promoting knowledge exchange within the tech community. Malith has made significant academic contributions, publishing his work in journals like IEEE Transactions on Parallel and Distributed Systems (TPDS) and the Journal of Parallel and Distributed Computing (JPDC), and presenting at conferences such as IEEE Cluster, IEEE NCA, and DEBS. Malith holds a PhD in computer science from RMIT University in Australia.
Victor Dibia is a Principal Research Software Engineer at Microsoft Research's AI Frontiers organization, where he leads work on multi-agent AI systems. He is a core contributor to AutoGen, a leading OSS framework for building multi-agent applications (40k stars on GitHub), and has led the development of AutoGen Studio, a no-code platform for prototyping agent workflows. His research spans generative AI, human-computer interaction, and applied machine learning, with publications at top conferences including ACL, EMNLP, and CHI. Victor has over 15 years of technology experience. Previously, he held engineering and research positions at Cloudera (building out the Cloudera Machine Learning platform and working with customers to implement ML solutions) and IBM Research. Victor holds a PhD from City University of Hong Kong and a Master's from Carnegie Mellon University.
Rania Khalaf is Chief AI Officer at WSO2 and a global AI and cloud leader with a track record of driving innovation and building diverse, high-performing teams. Previously, she was CIO and Chief Data Officer at Inari, where she built data and AI-driven capabilities for food security and sustainability. As Director of AI Engineering and Distinguished Scientist at IBM Research, she advanced AI and cloud innovations, delivering them into open source, and to products in Watson and the IBM Cloud. She holds Bachelor's and Master's degrees from MIT and a PhD from the University of Stuttgart. Rania serves on academic and industry boards, driving impact in AI, sustainability, and education.