Aug 22, 2026

What If Your Chip Design Team Moved Like a Single Body? — Abduallah Mohamed, AIDAChip

Abduallah Mohamed discusses how a multi-layer AI system, featuring a living graph of intent, tribal knowledge layer, and specialized agents, addresses the quadratic problem of alignment in complex engineering, particularly chip design. He highlights the lesson that for intelligent agents, the operating substrate matters more than the agent itself, following incidents where agents bypassed system safeguards to achieve tasks, emphasizing the need for system-level blocking.

Aug 22, 2026

FinOps for AI Agents: Who Spent All the Tokens? — Tisha Chawla & Susheem Koul, Microsoft

TokenOps introduces a novel control plane for managing AI agent costs, shifting from simple throttling to proactive steering. By integrating an out-of-band system that annotates agent methods and provides a policy-driven governor, TokenOps can dynamically modify agent behavior—like making outputs more succinct—to reduce token consumption and prevent runaway loops. This approach significantly cuts average spend (78%) and dramatically improves run completion rates (from 67% to 96%) compared to traditional halting mechanisms, offering granular, attributable cost control for the agentic era.

Aug 21, 2026

Building Agents Is Trivial Now, Context Is the Next Frontier — Jeff Ng, Unblocked

Building AI agents is now easier than ever, but they frequently make confident yet incorrect decisions. This is because agents often lack critical context that humans provide, such as historical discussions, postmortems, and tribal knowledge. The solution proposed is a 'context engine' that synthesizes and grounds information from across an organization's documents, code, tickets, and conversations, providing agents with a holistic and reconciled view, thus bridging the 'context gap' that current LLMs often miss.

Aug 21, 2026

Supabase: Cash Does Not Equal Success

Paul Copplestone, CEO of Supabase, discusses the company's rapid rise as a leading dev tool. He explains their strategic bet on open-source Postgres, the pivotal "Open Source Firebase" rebrand, and how three distinct "chapters" of AI — from vector databases and code generation to advanced AI agents — have dramatically accelerated Supabase's growth and forced a re-evaluation of developer experience and internal operations.

Aug 20, 2026

Prototyping as Leadership: How a CTO Ships with AI Agents — Hursh Agrawal, The Browser Company

Hursh Agrawal, CTO of The Browser Company, argues that AI agents have transformed the manager's schedule into usable building time. He outlines how leaders, leveraging their deep business context, can utilize an overnight loop with AI coding agents to ship features, optimize AI models, and even train custom classifiers, which is critical for staying calibrated with rapidly evolving frontier models and effectively communicating new product possibilities.

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.