Feb 18, 2026

Protecting Healthcare Data w/ AI Cybersecurity | Siyethaba Nxumalo | Founder & COO | CipherGenix |4K

Siyethaba Nxumalo, the 22-year-old founder of CipherGenix, outlines the critical need for AI-specific cybersecurity in healthcare, where compromised models directly impact patient lives. He details his journey of building a global startup from South Africa, emphasizing a customer-first approach, a multi-layered security architecture to combat threats like data poisoning and model theft, and the non-negotiable role of ethical, explainable AI in building trust and ensuring patient safety.

Feb 18, 2026

Coding Agents & Language Evolution: Navigating Uncharted Waters • José Valim • GOTO 2025

José Valim deconstructs coding agents into three core components—instructions, tools, and runtimes—arguing for a shift away from fragmented tools towards integrated runtimes. He introduces AGENTS.md for better instructions, critiques the security and usability limitations of current tool protocols (MCPs), and showcases how integrated runtimes can provide agents with the deep context (via introspection) needed to create a more powerful and secure developer experience.

Feb 17, 2026

Boris Cherny: How We Built Claude Code

Boris Cherny, creator of Claude Code, shares the development philosophy behind the AI coding tool, emphasizing building for future models, leveraging latent user demand, and the surprising longevity of the terminal interface.

Feb 17, 2026

Serverless Panel • N. Coult, R. Kohler, D. Anderson, J. Agarwal, A. Laxmi & J. Dongre

A panel of experts from AWS, G-P, and AntStack discuss the practical impact of Generative AI on software development. They explore how AI is used as an accelerant for productivity, the challenges of applying it to large-scale system design, its role in modernization, and the future implications for developer careers and safety-critical systems.

Feb 16, 2026

Tool Calling

A panel discussion with experts from Arcade, Prosus Group, and MeaningStack who argue that most teams are building agents incorrectly. They dissect the failures of simple API wrappers, the pros and cons of MCP, and the critical role of governance and organizational structure in deploying agents successfully.

Feb 16, 2026

What is Multimodal RAG? Unlocking LLMs with Vector Databases

A technical breakdown of three distinct approaches for implementing Multimodal Retrieval-Augmented Generation (RAG), moving from simple text conversion to fully integrated cross-modal systems. The discussion covers the architecture, trade-offs, and capabilities of each method.