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On-demand Webinar
On-demand Webinar

Safely Accelerate Releases With Pipelines and Feature Flags | Harness Resource | Harness

With AI-generated code accelerating delivery velocity, many teams find their rollout processes can’t keep up. Pipelines sprawl, coordination becomes manual, and releases feel increasingly risky. In this live webinar, we will 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
May 7, 2026

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What you'll learn

Key Takeaways

AI Accelerates Code But Strains Release Processes

AI tools speed up code creation but create bottlenecks in testing and rolling out features. Teams need new paradigms to handle this increased velocity safely.

Feature Flags Drastically Increase Deployment Frequency

By implementing feature management, companies can shift from risky bi-weekly release cycles to deploying multiple times a day. This eliminates the need to wait weeks to fix or roll back problematic code.

Pipelines Combine Automation With Human Approvals

Automated pipelines can pause rollouts to allow developers to perform production smoke tests. This human-in-the-loop approach ensures quality control before fully releasing a feature.

Instantaneous Rollouts and Rollbacks via SDKs

Changes made to feature flags stream instantly to the application SDK. This allows teams to immediately deploy or revert features in production without delay.

Safe Experimentation With Targeted Traffic Segments

Teams can divert a small percentage of traffic to test new features while maintaining active monitoring. If critical metrics drop or errors spike, alerts automatically notify the team.