Conferences

Video: Zero-Touch Algorithm Handoffs: Shipping ML Algorithms to Prod Without Rewrites (or ML Engineers)

Roy Osherove

27 Dec 2025 — 1 min read

A while ago I wrote about Zero-Touch Algorithm Handoffs: How We Ship ML Algorithms to Prod Without Rewrites (or ML Engineers) and a few weeks ago I got the chance to speak about this topic at the BuildStuff conference.

Here's the video:

Summary

In this video I break down how to ship machine learning algorithms to production without rewrites or ML engineers by using a zero-touch deployment pattern built on Temporal workflows. Traditional ML handoffs—where research code is re-implemented in production apps or sits in backlog with ML engineers—are slow, error-prone, and duplicate effort.

Instead, we treat algorithms as Temporal activities owned by researchers and let developers own simple workflows that call those activities, giving us automatic production updates, resilience, scale, and decoupled ownership. This zero-touch algorithm deployment pattern eliminates integration friction, accelerates delivery, improves autonomy between teams, and brings MLOps automation to real researcher-to-prod handoffs without manual intervention

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Summary

Read more

Cursor & Other AI dev tools need a model-switch hook

Video: RepoSwarm - Giving AI Agents Architecture Context Across All Your Repos (BuildStuff Conference)

Red Queen Code Review Pattern with AI

Useful Bash Scripts