An in-depth look at Gemma 4's novel transformer architecture with per-layer embeddings, enabling efficient parameter offloading for on-device inference. The discussion also covers its native multimodality, the state of fine-tuning, text-based diffusion models, and the growing intersection of research and engineering.
Explore the evolution of AWS Lambda and the serverless ecosystem over the last decade, focusing on the two core pillars that have revolutionized the developer journey: Developer Experience (DevEx) and Observability. This session covers the shift from console-based workflows to modern IDE-integrated development, the role of tools like Lambda Layers and Extensions, and the importance of the broader serverless landscape including AWS Step Functions.
Cognitive psychologist Yanina Ledovaya explains how to boost developer productivity and satisfaction by focusing on three universal human needs from Self-Determination Theory: Autonomy, Competence, and Relatedness. This talk delves into how these psychological drivers underpin developer motivation, influence the adoption of AI tools, and provide a practical framework for managers to create more effective and engaging work environments.
Eric Zakariasson from Cursor explains the shift from single-agent pair programming to managing a multi-agent "software factory". He outlines the practical steps required, from establishing a well-structured codebase with guardrails to adopting a managerial mindset that focuses on automation, asynchronous work, and scaling agent fleets to increase software development throughput and consistency.
This talk by Juan Herreros Elorza explores how to design internal developer platforms for a future where AI coding agents are first-class users. It argues that the same best practices that make platforms accessible to humans—self-service interfaces, well-defined APIs, local-first workflows, and rich observability—are now critical prerequisites for agents to autonomously build, debug, and ship software. The session provides concrete principles for platform design, discusses how to manage AI-assisted contributions, and emphasizes the need to measure the impact of these changes on developer productivity and system reliability.
In this panel discussion, Holly Cummins, Abby Bangser, and Adrian Mouat explore the inherent conflict between security and developer experience. They argue that traditional security, often driven by fear and restrictive policies, can lead to 'Shadow IT' and greater insecurity. The solution proposed is a platform engineering approach, which centralizes security expertise to provide secure defaults, infrastructure guardrails, and a clear shared responsibility model, thus enabling development teams to deliver value quickly and safely without needing to become security experts themselves.