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On-demand Webinar
On-demand Webinar

Deploying at AI Speed: Supercharging Rollouts With Pipelines and Feature Flags | Harness Resource

Tame Release ComplexityAs delivery velocity accelerates, many teams find their rollout processes can’t keep up. Pipelines sprawl, coordination becomes manual, and releases feel increasingly risky, especially as AI-assisted coding increases change volume.In this live webinar, DZone and Harness break down how teams are combining pipelines and feature flags to bring structure, visibility, and control back to software rollouts. You’ll learn how progressive delivery patterns help standardize releases, reduce blast radius, and make rollouts safer without slowing teams down.You’ll learn how to:Govern rollouts with clear, repeatable deployment patternsImprove visibility across releases and rollback pathsControl risk and cost as delivery frequency increases

Published
February 25, 2026

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What you'll learn

Key Takeaways

Safer Rollouts With Feature Flags

Coupling a Continuous Delivery platform with feature flags allows teams to deploy applications while keeping new features hidden. This provides granular control over deployments and reduces release risks.

Data-Driven Feature Experimentation

Feature management enables teams to run targeted experiments on new ideas. By measuring variations, organizations can make data-driven decisions that improve customer experience and drive business metrics.

Standardized Pipeline Processes

Integrating feature flags directly into deployment pipelines creates a consistent rollout process. Teams can easily add approval steps, configure flags, and gradually expand user access.

Automated Feature Flag Removal

Incorporating flag removal directly into the deployment pipeline helps eliminate technical debt. This practice ensures the codebase remains clean and teams maintain full transparency on rollout stages.