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The Next Programming Language Is English

Agentic Conversations (formally mlops.community)2026年7月6日38分

The Next Programming Language Is English

Agentic Conversations (formally mlops.community)

0:0038:13
このエピソードはアーカイブのため、日本語要約の対象外です。
番組の概要欄(原文)

<p>In this episode, we&#39;re joined by <em>Cornelia Davis</em>, Developer Advocate at <a href="https://temporal.io" target="_blank" rel="ugc noopener noreferrer">Temporal</a> and a longtime software architect who has spent decades helping shape modern cloud-native systems.</p><p><br></p><p>We explore how programming has evolved from assembly language to cloud-native architectures, and why AI is forcing us to rethink software development once again. Cornelia argues that natural language is becoming a new programming abstraction, while durable execution may be the missing layer that makes AI agents reliable in production.</p><p><br></p><p>The conversation dives into probabilistic software, long-running AI agents, MCP tasks, human-in-the-loop workflows, durable timers, distributed systems, and why developers may no longer need to think about infrastructure the way they once did.</p><p><br></p><p>Cornelia Davis: <a href="https://www.linkedin.com/in/corneliadavis" target="_blank" rel="ugc noopener noreferrer">https://www.linkedin.com/in/corneliadavis</a></p><p>Demetrios: <a href="https://www.linkedin.com/in/dpbrinkm" target="_blank" rel="ugc noopener noreferrer">https://www.linkedin.com/in/dpbrinkm</a></p><p><br></p><p>Temporal: <a href="https://temporal.io" target="_blank" rel="ugc noopener noreferrer">https://temporal.io</a></p><p><br></p><p>Timestamps</p><p>[00:00] AI Programming Abstractions</p><p>[00:52] Abstraction Evolution in Programming</p><p>[04:05] Text to SQL Evolution</p><p>[10:08] Compensations for Natural Language</p><p>[12:13] Durable MCP in AI</p><p>[18:34] Streaming Session Explanation</p><p>[21:31] Batch Processes with Tasks</p><p>[29:29] Complexity Relocation in Systems</p><p>[33:10] Complexity Relocation in Dev</p><p>[36:36] Programming Model Shifts</p>

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