Operations | Monitoring | ITSM | DevOps | Cloud

Many software engineers are experts in application code but not in the nuances of creating a production-ready delivery pipeline. Architect Mode acts as a seasoned DevOps expert, engaging the user in a conversation to design a pipeline that incorporates organizational best practices for security, quality, and compliance from the very beginning. It’s like having a personal DevOps architect as a partner.

We're making Internal Developer Platforms (IDPs) more accessible with a natural language assistant. Developers can ask questions like, "What are the failing checks for my service's scorecard?" or "Who is the owner of a service?" to find metadata instantly. The agent also bridges the gap to action by suggesting and executing self-service workflows, like creating a new repo or onboarding a new engineer. It can even assist in generating new workflows, turning complex processes into simple conversational tasks.

Our first AI/ML capability, Continuous Verification, made Harness the first Continuous Delivery tool to understand observability telemetry and trigger rollbacks when deployments caused trouble. We knew we could do more to eliminate the friction involved in its setup. Deploying with confidence shouldn't require a coordination meeting between DevOps, SREs, and developers just to configure the right health checks. That’s why we’re introducing the next generation: AI Verification and Rollback.

For organizations managing complex release trains, especially in regulated industries, Harness Release Orchestration provides the governance and visibility needed to deliver with confidence. And with AI-powered assistance, you can even model new release processes using natural language, which Harness then translates into structured YAML.

Harness AI enhances your chaos engineering capabilities by leveraging artificial intelligence to automate and optimize reliability testing and analysis. One of the challenges of scaling up the Chaos Engineering practice within the organization is skilling up the users to create or run chaos experiments and to come up with solutions to mitigate the risks that are identified during the chaos experiment execution. The Chaos Engineering module comes with an AI Agent called "AI Reliability Agent" that helps in these aspects.

Harness's MCP Server provides a unified interface for AI agents to interact with Harness's comprehensive suite of DevOps tools and services. The Harness MCP server brings the power of Harness's 150+ DevOps tools directly into your IDE, creating a high level of automation for DevOps, Testing, Security, and FinOps.

Harness AI SRE is a comprehensive incident management system that uses AI to enable teams to detect, respond to, and resolve incidents efficiently. It integrates with various monitoring, alerting, and collaboration tools to provide a seamless incident resolution workflow.

The integration of Amazon Kiro and Harness’s MCP server enables developers to manage, troubleshoot, and optimize CI/CD pipelines directly from their IDE using natural language, dramatically reducing manual effort and accelerating software delivery from code generation to production.

Our first AI/ML capability, Continuous Verification, made Harness the first Continuous Delivery tool to understand observability telemetry and trigger rollbacks when deployments caused trouble. We knew we could do more to eliminate the friction involved in its setup. Deploying with confidence shouldn't require a coordination meeting between DevOps, SREs, and developers just to configure the right health checks. That’s why we’re introducing the next generation: AI Verification and Rollback. We’ve moved beyond just AI-powered analysis to AI-powered setup.

The Harness IDP Agent helps users quickly find information and take action by guiding them through complex service, infrastructure, or IDP platform workflows. For instance, requesting a new EC2 instance triggers the agent to prompt for required inputs, validate them, and execute the appropriate pipelines.