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The new Dynamic Stage allows you to import and execute an entire pipeline's YAML definition inside a single stage of your current pipeline. It is essentially running a pipeline within a stage. The pipeline YAML can either be generated and transformed at runtime in a previous stage, or be directly provided to the source input of the Dynamic Stage in encoded form. Dynamic Stages work seamlessly across Harness CI and CD modules.

Artifact Registry for Models - Unscripted 2025.

Unlock Faster, Safer Releases with Feature Management and Experimentation Learn how top engineering and product teams use Harness Feature Management & Experimentation (FME) to accelerate innovation, reduce release risks, and continuously deliver value. In this on-demand webinar, Harness experts Alex Bock and Iram Khan share how to go beyond feature flags to achieve smarter, data-driven releases. Discover how to.

How do you measure engineering excellence in the age of AI? In this ShipTalk episode, Dewan Ahmed talks with Adeeb Valiulla, leader of Developer Productivity & Efficiency at Harness, about redefining productivity beyond dashboards and vanity metrics.

This video demonstrates how you can use ModelScan step in Harness STO to scan you AI/ML models.

This video details about the base image approval mechanism in Harness STO.

This video explains how to configure base image identification for your container image scans, so that vulnerabilities originating from the base image are detected and labeled appropriately.

In this video, we explore how to set up the Harness MCP server in VS Code. Harness MCP server exposes 160+ tools across DevOps, Testing, Security, and FinOps.

Nothing drains developer productivity like codebase maintenance. The endless cycle of dependency upgrades, bug fixes, refactoring, and paying down technical debt is tedious, error-prone work that pulls engineers away from building new features. Harness Autonomous Code Maintenance (ACM) turns these manual chores into automated, intent-driven workflows. Developers can now state their intent in plain English, with prompts like, "Upgrade the front end from React 15.6 to 16.4". From there, the Harness AI agent drives the workflow.