15 docs tagged with "harness-ai"

Generate dashboards and widgets from natural language descriptions using Harness AI.

Learn about the AppSec SCS Chatbot

Harness AI brings intelligence to every stage of your software delivery lifecycle through three integrated capabilities.

Use these example prompts to create pipelines, services, environments, connectors, and other Harness resources with Harness AI.

Harness Agents Reference

Create pipelines, manage resources, and troubleshoot with AI through natural language conversations in the Harness UI.

Leverage Gemini CLI with Harness AI MCP Server to unleash your developer workflows.

Install the Harness VS Code Extension to monitor pipelines, view logs, manage approvals, and use AI-assisted debugging directly in Visual Studio Code.

Select and configure the right model connector for your Harness AI Worker Agents.

Learn about how AI improves your experience on the Harness platform.

Learn about the Release Agent capabilities in Harness FME.

Add Worker Agent steps to Harness pipelines, reference agent outputs, and gate deployments based on agent decisions.

Configure Worker Agent instructions, MCP connectors, inputs, environment variables, triggers, and notifications.

Explore Worker Agent examples including PR review, IaC plan safety, spec-driven development, and implementation agents.

Create and configure AI-powered Worker Agents that run inside Harness pipelines to automate code review, incident response, data synthesis, and other intelligent workflows.