Apr 21, 2026

Taste & Craft: A Conversation with Tuomas Artman, CTO Linear & Gergely Orosz, @pragmaticengineer

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.

Apr 21, 2026

Building, Managing & Governing APIs on AWS • Giedrius Praspaliauskas • GOTO 2025

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.

Apr 21, 2026

The Four Types of Memory Every AI Agent Needs — with Richmond Alake

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.

Apr 20, 2026

A New Kind of Marketplace

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.

Apr 20, 2026

The Modern Software Engineer

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.

Apr 20, 2026

What AI Agent Skills Are and How They Work

AI agents, powered by LLMs, excel at reasoning but lack the procedural knowledge required for real-world workflows. Martin Keen explains how the 'agent skills' open standard solves this by packaging step-by-step instructions, enabling agents to automate complex tasks efficiently and reliably.