IBM security experts discuss the implications of using AI agents like OpenClaw for penetration testing, the challenges posed by AI-generated ephemeral software, and the strategic allocation of security budgets in an era of rapidly growing ransomware threats.
Tuomas Artman, Cofounder and CTO of Linear, discusses the paradoxical challenge AI introduces to software development. While AI agents accelerate shipping features, this speed can lead to a decline in software quality. He argues for prioritizing "tasteful," high-quality software as the ultimate competitive advantage and shares Linear's unique internal practices, such as the "Zero-Bug Policy" and "Quality Wednesdays," designed to cultivate a deep-seated culture of quality.
Giedrius Praspaliauskas from AWS explores the ten stages of the API lifecycle, demonstrating how modern AI, Generative AI, and agentic systems are reshaping API strategy, development, security, and governance on AWS using services like API Gateway, AppSync, and Amazon Q.
Richmond Alake from Oracle explains the critical role of Agent Memory in building adaptive AI agents, detailing the four types of memory, the limitations of Retrieval-Augmented Generation (RAG), and the architecture of the modern agent stack.
Donné Stevenson (Prosus) and Pedro Chaves (OLX Group) explore the future of e-commerce, where AI agents will automate buying and selling. They discuss the transition from traditional search to agent-driven experiences, the critical challenges of user trust and UI/UX design, and a future vision for an agent-to-agent marketplace that handles everything from negotiation to logistics.
Mihail Eric, Head of AI at Monaco and Stanford Lecturer, discusses the fundamental shift in software engineering due to AI. He explores how the developer's role is evolving from a line-by-line coder to a systems architect and agent director, emphasizing the growing importance of upfront planning, robust validation, and clear articulation to effectively manage AI-driven workflows.