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.
A deep dive into Google DeepMind's Gemma 4, the latest family of open models. This summary covers the new model architectures like per-layer embeddings, on-device agentic capabilities, multimodal features, and the growing ecosystem of fine-tuned applications from medicine to sovereign AI.
Malte Ubl, CTO of Vercel, posits that AI engineering is the successor to web development, arguing that AI agents will expand, not shrink, the software market. He explores practical agent archetypes being built today and discusses the profound shift required in infrastructure and security as agents become both the builders and primary users of software, concluding that the true innovation and value will lie in the application layer built by AI engineers, independent of the commoditizing foundational models.
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.
Java Champion Ben Evans provides a data-driven analysis of Java's health in 2026, arguing against its perceived decline. He covers its robust ecosystem, the core tension between dynamism and integrity, its evolving role in AI, and a detailed roadmap including Project Valhalla and the Vector API.