The Next Programming Language Is English

The Next Programming Language Is English

Author: Demetrios July 6, 2026 Duration: 38:13

In this episode, we're joined by Cornelia Davis, Developer Advocate at Temporal and a longtime software architect who has spent decades helping shape modern cloud-native systems.


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.


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.


Cornelia Davis: https://www.linkedin.com/in/corneliadavis

Demetrios: https://www.linkedin.com/in/dpbrinkm


Temporal: https://temporal.io


Timestamps

[00:00] AI Programming Abstractions

[00:52] Abstraction Evolution in Programming

[04:05] Text to SQL Evolution

[10:08] Compensations for Natural Language

[12:13] Durable MCP in AI

[18:34] Streaming Session Explanation

[21:31] Batch Processes with Tasks

[29:29] Complexity Relocation in Systems

[33:10] Complexity Relocation in Dev

[36:36] Programming Model Shifts


Hosted by Demetrios, MLOps.community is a space for honest, meandering talks about the real work of making artificial intelligence systems actually work. This isn't about hype or theoretical papers; it's about the messy, practical, and often surprising journey of taking models from a notebook into a live environment. You'll hear from engineers and practitioners who are in the trenches, discussing the tools, the frustrations, and the occasional breakthroughs that define the day-to-day. The conversations are deliberately relaxed, covering everything from traditional machine learning pipelines to the new world of large language models and even the intangible "vibes" of team culture and process. Each episode peels back a layer on what "production" really means, whether that involves deploying a predictive service, managing an agentic system, or maintaining reliability as everything scales. Tuning into this podcast feels like grabbing a coffee with colleagues who aren't afraid to dig into the technical nitty-gritty while keeping the tone conversational and accessible. It's for anyone who builds, manages, or is just curious about the operational backbone that allows AI to deliver value, offering a grounded perspective often missing from the broader conversation.
Author: Language: en-us Episodes: 50

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