Oct 06, 2026

The 6 Pillars of an Agentic Harness for Production — Varun Krovvidi, Resolve AI

Varun Krovvidi of Resolve AI explains why AI excels at code generation but struggles with the complex, multi-domain problem of running and fixing software in production. He outlines five common failure modes for AI agents in production (anchoring bias, context issues, coherent vs. causal answers, guardrails, lack of learning) and introduces Resolve AI's six-pillar architecture: model orchestration, context engineering, causal reasoning, governed actions, learning systems, and multi-level evaluations. A demo illustrates how Resolve AI diagnoses a Grafana alert to its root cause, ruling out coincidental events and maintaining its causal reasoning.

Oct 06, 2026

Harness Engineering: How to Build a Software Factory — Dru Knox, Tessl

Dru Knox of Tessl discusses harness engineering, the discipline for building software factories with AI agents. He outlines a factory's three pillars—autonomy, automation, quality—and introduces inner, outer, and meta loops. Knox explains why this field is challenging and proposes a three-layer architecture: control plane, agent-ready stack, and improvement loops, concluding with key metrics to track progress towards an agent-driven software development future.

Sep 23, 2026

Thinking in Platforms • Kasper von Grünberg & Luca Galante • GOTO 2026

Kaspar von Grünberg and Luca Galante discuss their book "Thinking in Platforms," tracing platform engineering's origins from addressing key person dependencies to its critical role as an "operating model" for AI-first organizations. They highlight how AI agents necessitate standardized, productized internal platforms for effective deployment, emphasizing that platform efforts often fail due to social rather than technical challenges.

Sep 04, 2026

Open Models Change The Economics of AI

Ollama Co-founder Jeffrey Morgan discusses the enterprise shift to open models, driven by cost, customization, and coding agents, leading to a 150X token growth. He highlights the dominance of Chinese models in cloud consumption, the hardware renaissance enabling local LLMs, and the rise of ultra-efficient "flash" models. Morgan also shares Ollama's journey, from its YC pivot to its monetization strategy, and reflects on lessons for building AI companies.

Aug 31, 2026

How AI Is Changing Code Reviews & Software Development

This video explores the evolution of code reviews, tracing their history from manual Fagan inspections and pair programming to modern CI/CD automation. It highlights how AI is now transforming code review from a focus on implementation details to a validation of intent, business outcomes, and requirement fulfillment, emphasizing a collaborative model between AI for broad analysis and humans for context and judgment.

Aug 28, 2026

From AI-Assisted to AI-Native: Building a Frontier Development Team — Clare Liguori, AWS

Clare Liguori, a Senior Principal Engineer at AWS, reveals how Amazon teams are achieving 4.5x to 10x productivity gains through 'frontier development' with AI coding assistants like Kuro. She emphasizes that success isn't about the tools, but about fundamentally changing how engineers work, outlining five core habits: investing in agent context, embracing an initial slowdown for long-term speedup, feeding agents comprehensive instructions instead of micromanaging, making design intent explicit before coding, and shifting left with local, deterministic testing. Liguori also addresses new challenges like burnout and decision-making becoming the primary bottleneck in highly accelerated development cycles.