About
Key Takeaways:

1. AI coding speeds up development, but creates new challenges in review, release safety, and validating quality at scale.

2. Production measurement is becoming the best way to evaluate AI-generated code using feature flags, experiments, guardrails, and automated rollback.

3. Harness Feature Management & Experimentation helps teams ship AI-assisted changes faster by turning every release into a controlled, measurable experiment.
When
Tuesday, June 23, 2026 · 1:00 p.m. Eastern Time (US & Canada) (GMT -4:00)
Presenters
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Jared Harris
Webinar Host
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Ryan Vila
Feature Management and Experimentation Specialist - Harness
Ryan is the Americas Domain Specialist for Feature Management and Experimentation at Harness, where he helps large engineering organizations ship faster and with more confidence. He has spent the past eight years shaping how enterprises adopt feature flags, progressive delivery, and data-driven experimentation. Before that, he spent over a decade consulting on quality engineering and performance practices for some of the world’s largest brands. Ryan’s work sits at the intersection of release engineering, risk reduction, and measurable product impact.
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Josh Klein
Implementation Engineer - Harness
Josh Klein is a technology leader with extensive experience helping product companies deliver scalable, reliable software solutions. He has led multimillion-dollar integration projects, built widely adopted developer tools, and partnered closely with enterprise customers to maximize platform value. Combining strategic architecture expertise with a hands-on engineering approach, Josh specializes in turning complex technical challenges into practical, high-impact outcomes.