Jun 29, 2026

What Is AI Code Review? Fixing Slow PRs & Broken Workflows with AI

Anna Gutowska explains how AI code review enhances software development by addressing the slowness and inconsistency of traditional methods. The video delves into the benefits of AI in accelerating reviews, improving code quality, fostering developer learning, and reducing technical debt. It covers the underlying technologies like static/dynamic analysis and LLMs, discusses critical considerations such as over-reliance and context, and provides best practices for integrating AI while emphasizing the indispensable role of human oversight.

Jun 29, 2026

The Blueprint for Autonomous Work Agents | Gavriel Cohen, NanoClaw

Kovid Goyal, founder of NanoClaw, discusses his journey from a serendipitous encounter with Singapore's Foreign Minister to evolving NanoClaw into an enterprise AI deployment company. He shares insights on personal vs. team-managed agents, the "second brain" as a killer use case, NanoClaw's security-first architecture, and the future challenges of managing open-source projects and enterprise AI deployments in an era of rapidly evolving agent technology.

Jun 29, 2026

Frontier results, on device - RL Nabors, Arize

RL Nabors discusses the significant costs associated with using frontier AI models, covering security, latency, and financial implications. She introduces a framework for right-sizing AI solutions by leveraging smaller, task-specific models and Small Language Models (SLMs). The framework details how to prove task feasibility, establish success criteria with golden datasets, conduct capability evaluations (using tools like Phoenix), and select the most appropriate "Small And Good Enough" (SAGE) model. Nabors further demonstrates how prompt engineering, particularly few-shot prompting, and post-processing can close performance gaps with larger models, while advocating for continuous regression evaluations to maintain performance integrity. The overarching message is to "prototype big, deploy small" to optimize AI deployments.

Jun 29, 2026

The Future Is Domain-Specific Agents - Justin Schroeder, StandardAgents

Justin Schroeder argues for a paradigm shift in AI agent development from monolithic, context-inflated agents (inheritance) to modular, domain-specific agents (DSAs) that operate through composition. He explains how DSAs offer superior token efficiency, cost savings with smaller models, enhanced security through capability limits, and better scalability, predicting their widespread adoption by 2027 as a solution to rising AI costs and the need for practical, customer-facing AI.

Jun 29, 2026

You Can't Prompt the Room: The Last Skill AI Won't Replace - Balázs Horváth, VisualLabs

AI has shifted the software development bottleneck from coding to defining *what* to build. This talk emphasizes the critical role of human skills in eliciting true requirements and understanding business value, detailing practical tools like story mapping, a 4-question value framework, and the VAD thinking path to ensure valuable AI-driven solutions are built, focusing on impact over mere feature delivery.

Jun 28, 2026

Voice In, Visuals Out: The Agony and the Ecstasy - Allen Pike, Forestwalk Labs

Allen Pike (Forestwalk Labs) discusses the power of "voice-in, visuals-out" AI experiences, a paradigm championed by Andrej Karpathy. He highlights the critical challenge of latency in real-time AI interactions and shares three key techniques for achieving low-latency, delightful user experiences: utilizing fast models, employing short inference intervals, and implementing stable caching regimens.