Note de episod
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
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