Jesse Vincent, creator of the Claude plugin Superpowers, explains his methodology for agentic software development. He details a system of spec-driven development using brainstorming, planning, and execution skills that turn developers into managers of AI agents, emphasizing the importance of explaining the 'why' to LLMs and pressure-testing skills to prevent rationalization.
Theoretical physicist Alex Lupsaska shares his journey from AI skeptic to collaborator, detailing how advanced GPT models solved a year-long problem in quantum field theory concerning gluon scattering amplitudes, and then generalized the solution to gravitons, signaling a new era of AI-accelerated scientific discovery.
Filip Makraduli from Superlinked discusses the common infrastructure gaps and profiling mistakes encountered when deploying small embedding and transformer models. He introduces the Superlinked Inference Engine (SIE), an open-source solution designed for dynamic model loading, hot-swapping, and memory-aware eviction to maximize GPU utilization and streamline the path from development to production.
A deep dive into Google's AI Edge stack for on-device AI, covering the new Gemma 4 models, the LiteRT framework for cross-platform deployment, and practical use cases in agent skills, tool calling, and hardware acceleration on CPUs, GPUs, and NPUs.
A deep dive into building production-ready, stateless, and scalable LLM agents by leveraging the Model Context Protocol (MCP) and Strands SDK on AWS Lambda. The session demonstrates how to expose real-world functionality to language models, moving beyond mere reasoning to tangible action.
Rubrik’s Anneka Gupta and Cal Al-Dhubaib discuss the escalating cybersecurity risks posed by powerful AI agents, the necessity of a "zero trust" mindset, and how platforms like Rubrik provide cyber-resilience through advanced visibility, governance, and remediation tools in the new agentic era.