Aug 20, 2026

The Last Human Code Review: Building Trust in AI-Generated Code — Itamar Friedman, Qodo

Itamar Friedman discusses how the bottleneck in AI-driven development has shifted from code generation to code review. He argues that current AI models are not the constraint; rather, it's the lack of codified, accessible context for AI agents. The solution involves building context engines that cater to both human and AI needs, integrating deep architectural knowledge and historical data to transition from reviewing individual pull requests to analyzing a comprehensive software graph, ultimately leading to automated code governance and "AI wisdom."

Aug 20, 2026

Modern Computer Architecture & Organization • Jim Ledin & Maciej «MJ» Jedrzejewski • GOTO 2026

Jim Ledin, author of *Modern Computer Architecture and Organization*, discusses the integration of GPUs and LLMs into his book, emphasizing architectural principles over fleeting trends. He highlights memory bandwidth as the primary bottleneck in AI, explaining the impact of High Bandwidth Memory (HBM) demand on consumer RAM. Ledin also identifies understanding pipelining and cache hierarchy as the most crucial skill for software developers to optimize code performance.

Aug 20, 2026

AI Agents vs Business Rules: Which Should Make Decisions?

This video contrasts deterministic business rules with probabilistic AI agents for enterprise decision-making. It argues that instead of one superseding the other, a hybrid approach combining rules-first processing with AI agent escalation for complex, unstructured, or judgment-heavy cases, augmented by deterministic guardrails and human oversight, leads to optimal automation.

Aug 20, 2026

Why Most AI Agents Fail Horribly

Maarten Grootendorst discusses the foundational understanding developers need for modern AI tools, emphasizing core LLM concepts like tokens, embeddings, and attention. He provides a pragmatic view on AI agents, distinguishing hype from practical applications like coding assistants, and explores the role of memory, guardrails, and the growing importance of open-weight models for control and efficiency in AI infrastructure.

Aug 20, 2026

From Restoring Sight to Reimagining the Brain, with Max Hodak

Max Hodak, co-founder and CEO of Science.xyz, discusses their revolutionary PRIMA retinal implant, restoring functional vision to the blind. He elaborates on treating the brain as a computational system, unlocking new medical approaches, and explores the broader potential of neural devices—from restoring capabilities to expanding human potential, touching on identity, consciousness, and AI-brain parallels. Science's long-term vision aims to reduce human fragility by repairing, replacing, and upgrading ourselves.

Aug 19, 2026

Why Your Enterprise Tech Stack Isn’t Ready for AI Agents — Christopher Lovejoy & Saul Howard

Chris Lovejoy and Saul Howard discuss the critical challenges of deploying AI agents in highly regulated enterprise environments, particularly healthcare. They advocate for a "constraints-first" architectural approach, proposing three core primitives – an immutable event log for auditability, schema-driven object storage for sensitive data, and human-agent equivalency for seamless escalation – which collectively enable privacy-preserving evaluations as a fundamental byproduct of the system design, rather than being an afterthought.