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

AI coding tools are helping development teams ship more code, more often. The challenge is making sure your rollout process can keep up without adding risk or burning out reviewers and on-call engineers. In this webinar, we will show how to supercharge releases by combining Harness Pipelines with built-in Harness FME feature flag steps, so you can automate progressive deployments with control and confidence. You will see a live demo of adding feature flag steps into a pipeline so you can standardize releases, coordination, and create fast, repeatable paths to validate, ramp, and roll back when needed.

1. Keep release operations in sync with AI-accelerated delivery

   Learn how to automate your rollout workflow in Harness Pipelines so your release process scales with the higher cadence created by AI-assisted coding.
   

2. Reduce risk while increasing velocity with feature flag steps

   See how built-in Harness FME steps enable progressive exposure, targeted rollouts, and quick rollbacks so you can ship frequently without turning every release into a high-stakes event.
   

3. Create a repeatable rollout pattern that teams can copy

   Walk away with a practical blueprint for templating pipelines and standardizing flag usage to keep releases consistent across services as output and change volume grow.