In an interview with James Lewis, Susanne Kaiser discusses her book "Architecture for Flow," which synthesizes Domain-Driven Design, Wardley Mapping, and Team Topologies. She explains how this holistic approach helps design adaptive socio-technical systems by starting with the problem space, visualizing the value chain, and aligning team structures to the software architecture, all guided by her practical "Architecture for Flow Canvas."
Explores the challenges of single AI agents, such as context dilution and tool overload, and introduces hierarchical AI agents as a solution. This summary details the structure, benefits, and limitations of multi-agent systems for more scalable and efficient AI workflows.
Notion's Co-Founder, Simon Last, discusses their evolution from a writing assistant to a platform for custom AI agents. He covers the technical hurdles of semantic indexing, the internal shift toward using coding agents to build Notion, and the fundamental transition from a tool where humans do the work to one where humans manage a swarm of agents.
This talk by Philippe De Ryck explains why common OAuth 2.0 patterns in Single Page Applications (SPAs) are fundamentally insecure against Cross-Site Scripting (XSS) attacks. He demonstrates how defenses like refresh token rotation can be bypassed and introduces the Backend-for-Frontend (BFF) pattern as the secure, recommended solution.
A deep dive into the [un]prompted AI security conference, the new Zero Day Clock initiative for vulnerability management, the emergent risks of autonomous AI agents, and the pervasive issue of burnout in the cybersecurity field.
A deep dive into building agent-powered engineering workflows with Codex and OpenAI APIs, covering the shift from pair programming to agentic delegation, the principles of 'Harness Engineering' to make agents reliable, and practical examples from OpenAI and Basis.