AI + Harness FME + Pipelines + Policies for Safer Releases
Blog post from Harness
Harness Feature Management & Experimentation (FME) has integrated pipelines and policy support to improve release operations, addressing the gap between faster code creation through AI and manual, inconsistent release systems. This integration allows platform teams to streamline workflows by standardizing rollout stages, automating approvals, and embedding cleanup processes, thus reducing reliance on disconnected tools and tribal knowledge. The system operationalizes feature flags by decoupling deployment from release, enabling gradual exposure, experiment management, and rollback without redeployment. Policy as Code further enhances governance by enforcing standards automatically, preventing rollout risks, and maintaining flexibility across teams while avoiding bottlenecks. By consolidating delivery automation, feature release control, and governance within one platform, Harness eliminates toolchain sprawl and improves release safety and efficiency, making it a comprehensive solution for modern software delivery challenges.
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|---|---|---|---|---|---|
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| Observability | 2 | 3,204 | 716 | 172 | +14% |
| Developer Experience | 1 | 482 | 254 | 106 | +18% |
| Platform Engineering | 1 | 480 | 172 | 60 | +30% |
| Real-time | 1 | 6,457 | 1,307 | 242 | +28% |
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