PyTorch Video: B. Souville & M. Hamza on Spec-Driven AI Agents for OpenStack/K8s
B. Souville and M. Hamza share a spec-driven development workflow using AI coding agents to accelerate feature design and testing in OpenStack Tacker, covering cloud-native high availability and massive-scale vRAN use cases.
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The official PyTorch channel published a video on September 24, 2026, presented by B. Souville and M. Hamza. The talk introduces a spec-driven development workflow designed to turn complex Telco standards into production-ready code using AI coding agents, aiming to bypass months of manual design and validation.
The video demonstrates how AI agents navigate large codebases to propose architectural solutions and generate test suites directly from specifications, specifically accelerating features in OpenStack Tacker. Two main use cases are covered: (1) Cloud-native high availability, utilizing AI-assisted design of Kubernetes Operators for redundancy and fast failover toward a 99.999% SLA; and (2) Massive-scale vRAN, employing a Leader–Conductor style coordination model inspired by OpenStack orchestration systems to coordinate thousands of VNFs/CNFs, along with automated edge-case test generation.
For engineering readers seeking repeatable workflows that combine AI with upstream collaboration to accelerate carrier-grade system delivery while maintaining OpenInfra and Kubernetes standards, this resource provides specific practical references.