Published 13 Feb 2026
Duration: 1856
A podcast discusses the increasing importance of AI automation in engineering workflows, citing infrastructure challenges and introducing a new cloud platform as a possible solution.
Did AI agents just DDoS GitHub? Andrew and Ben are joined by Warp Founder and CEO Zach Lloyd to discuss the massive strain agentic workflows are putti...
The podcast examines the increasing use of agentic orchestration in engineering, where developers are leveraging AI tools to automate and streamline tasks, making their workflows more autonomous. A recent GitHub outage, attributed to a high volume of AI-generated commits, is used as a case study to highlight concerns about whether current infrastructure is prepared for the scale and complexity of agent-driven development. The discussion emphasizes the need for agent-native systems and new infrastructure layers that can support scalable orchestration at individual, team, and organizational levels.
Challenges in the adoption of AI in engineering include the difficulty of aligning current AI models with private codebases, the benefits of running AI tools locally for greater efficiency, and the potential economic impact of increased productivity without corresponding increases in developer compensation. The episode also introduces Oz, a cloud-based platform designed to manage AI agents securely and efficiently, offering enterprises a solution to handle the growing demands of agent-based workflows. Finally, it covers recent research progress in coding agents, the stress they may place on engineers due to constant integration, and how future architectural changes could be influenced by the widespread use of agent-based systems.
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