tools
Harness AI (AIDA)
Harness AI helps software teams build, test, secure, deploy, and operate applications using governed AI agents.
Harness AI is an AI layer for the software delivery lifecycle. It connects delivery, security, testing, cost data, and operational workflows through a Software Delivery Knowledge Graph.
Developers, platform engineers, DevOps teams, SREs, and security teams use it to generate pipelines, investigate failures, run governed worker agents, query delivery data, manage policies, and automate remediation. The product page redirects to Harness Platform, and module availability or enterprise capabilities may require a paid plan.
Features
- Generates and updates CI/CD pipelines with AI
- Runs expert and worker agents for delivery, security, testing, and FinOps
- Uses a Software Delivery Knowledge Graph for shared context
- Investigates build and deployment failures using delivery data
- Applies OPA policies, RBAC, approvals, and audit trails to AI actions
- Queries deployments, incidents, reliability metrics, and DORA data
- Connects to cloud, source-control, registry, observability, and security tools
- Supports APIs and MCP for bulk updates and tool integrations
Use cases
- Generate governed CI/CD pipelines from organizational standards
- Investigate failed builds and deployments using logs and delivery history
- Automate code review fixes, test execution, rollbacks, and environment changes
- Ask questions about release performance, incidents, and engineering efficiency
- Apply security policies and remediate vulnerabilities before production
- Track and govern cloud and AI spending across teams and agents