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From rollouts to results: Unlocking the value of Feature Management and Experimentation

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.

You're Late to the OpenTofu Party. Here's Why That's a Problem.

OpenTofu has emerged as the true open successor to Terraform, restoring transparency and community ownership after Terraform’s shift to a restrictive BSL license. With features like OCI registries, encryption at rest, and a public RFC process, it’s already outpacing Terraform’s innovation.

The AI Knowledge Agent: Making Internal Developer Portals Smarter

AI is generating more code than ever, but delivery hasn’t kept pace. The Harness IDP Knowledge Agent helps teams close that gap by turning their internal developer portal into an intelligent platform for faster, safer software delivery. Joining a new engineering team can be exciting, but it can also be overwhelming. You spend the first few days figuring out what each service does, where documentation lives, and who owns what.

Running Chaos Engineering on GKE Autopilot Just Got Easier

Harness Chaos Engineering now runs natively on GKE Autopilot. A simple allowlist configuration enables you to test resilience on Google's managed Kubernetes without sacrificing security or requiring workarounds. Google's GKE Autopilot provides fully managed Kubernetes without the operational overhead of node management, security patches, or capacity planning. However, running chaos engineering experiments on Autopilot has been challenging due to its security restrictions. We've solved that problem.

Harness recognized as a top partner in software delivery success

We’re thrilled to share some exciting news: Harness has once again been named to Inc.’s 2025 Power Partners list, recognizing companies that go above and beyond to help their customers succeed. This marks our second year in a row on the list — and while awards are always nice, this one feels special because it celebrates something deeper than technology. It’s about the relationships, trust, and collaboration that power real outcomes for our customers every day.

Harness patent for hybrid YAML editor enhances CI/CD workflows

Harness earned a patent for it's unified pipeline editor which makes it easy to configure pipelines whether they are for CI, CD, IaC, database migrations, service onboarding or other DevSecOps activities. ‍ We're thrilled to share some exciting news: Harness has been granted U.S. Patent US20230393818B2 (originally published as US20230393818A1) for our configuration file editor with an intelligent code-based interface and a visual interface.

Intent-Driven Assertions are Redefining How We Test Software

Traditional UI testing struggles to keep up with rapid design and workflow changes, often focusing on brittle selectors rather than user outcomes. Harness AI Test Automation introduces intent-driven, natural language assertions that understand what teams want to verify, not just how tests are written.

Streamline feature management with Harness MCP and Claude Code

Harness now supports the Model Context Protocol (MCP) for Feature Management and Experimentation (FME), enabling developers to interact with feature flags directly from AI-powered IDEs like Claude Code and Windsurf. The FME MCP tools make it easier to explore, understand, and manage feature flags through natural language, streamlining delivery and release workflows without leaving your development environment.

Validating chaos experiments with GCP Cloud Monitoring probes

GCP Cloud Monitoring probe let you transform your existing GCP metrics into automated pass/fail validation for chaos experiments, eliminating subjective observation in favor of objective measurement. With flexible authentication options (workload identity or service account keys) and PromQL query support, you can validate infrastructure performance against defined thresholds during controlled failure scenarios.