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Overview of Harness AI

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The Harness Platform leverages Harness AI to revolutionize software delivery processes. By combining AI capabilities with robust DevOps tools, features, and practices, the Harness platform streamlines and accelerates the software delivery lifecycle, and it empowers teams to deliver high-quality applications quickly and efficiently. Its AI-driven predictive analytics, continuous verification, and advanced release orchestration capabilities empower teams to drive innovation, improve efficiency, and ultimately deliver exceptional user experiences.

Enable AI

To enable module-specific AI features in your Harness account, do the following:

  1. Go to Account Settings.
  2. Select Account Resources, then select Default Settings.
  3. Select the Harness AI tile.
  4. Enable the Harness AI setting.
  5. Optional: Select Allow Overrides if you want to be able to enable/disable AI for individual projects.
  1. Go to Account Settings.
  2. Under General, select Default Settings.
  3. Select the Harness AI tile.
  4. Enable the Harness AI setting.
  5. Optional: Select Allow Overrides if you want to be able to enable/disable Harness AI for individual projects.

For more information about navigation 2.0, go to Harness navigation 2.0.

Harness AI features

ModuleFeatureDescriptionAvailability
PlatformHarness AI DevOps AgentAgentic AI assistant that creates and manages pipelines, stages, steps, services, environments, connectors, and secrets through natural language prompts.Generally available
PlatformDevOps Agent - Error AnalyzerAI-powered root cause analysis for pipeline failures with automated fix recommendations and YAML auto-repair.Generally available
PlatformDevOps Agent - Policy GenerationGenerate and integrate Open Policy Agent (OPA) Rego policies to meet compliance standards.Generally available
PlatformDevOps Agent - Pipeline SummarizerAI-generated natural language summaries of pipelines, executions, and dependent resources.Generally available
PlatformDevOps Agent - Resource CreationCreate Services, Environments, Connectors, and Secrets through conversational AI prompts.Generally available
PlatformHarness SupportHarness AI answers questions, suggests relevant documentation, and provides content recommendations when you create a support ticket.Generally available
PlatformDashboard IntelligenceCraft customized dashboards with widget-level control through interactive AI prompts.Generally available
PlatformMCP ServerModel Context Protocol server enabling integration with external AI tools like Cursor, Windsurf, Claude Desktop, and VS Code.Beta
Code RepositoryPR Summaries & Code ReviewAI-generated pull request descriptions with code change analysis, file-level summaries, and impact assessment to facilitate code review.Generally available
Code RepositorySemantic Code SearchNatural language code search that understands semantic meaning across your entire codebase.Generally available
Code AgentAI Code AgentIDE extension for intelligent code generation, real-time suggestions, automated test generation, contextual code explanations, and interactive chat.Beta
Code AgentAPI Spec GenerationGenerate OpenAPI and Swagger API specifications from your codebase using AI.Beta
CITroubleshoot CI buildsResolve build failures with Harness AI DevOps Agent's root cause analysis.Generally available
CIMulti-Module Pipeline CreationAI DevOps Agent creates CI, CD, IACM, IDP, SCS, STO, DB DevOps, and Chaos Engineering pipelines and stages.Generally available
CDTroubleshoot CD deploymentsResolve deployment failures with AI root cause analysis (RCA).Generally available
IACMIACM Pipeline CreationAI DevOps Agent creates Infrastructure as Code Management pipelines for provisioning infrastructure with Terraform and other IaC tools.Generally available
CCMGenerate governance rulesGenerate rules for asset governance with detailed descriptions to optimize cloud spend.Generally available
STOSecurity remediationAI-powered vulnerability analysis and remediation recommendations to secure applications.Generally available
CEChaosGuardGenerate conditions for chaos experiments with ChaosGuard.Generally available
FMERelease AgentAI-powered release intelligence with documentation summarization and experiment result analysis.Generally available
SEIAI Productivity InsightsAI-powered analysis of developer productivity, AI tool adoption impact, and engineering metrics including DORA and SPACE frameworks.Generally available
AI SREAI Scribe AgentAutomated incident documentation with real-time communication monitoring across Slack, Zoom, and Microsoft Teams.Generally available
AI TestAI Test CopilotNatural language test generation with intent-driven testing, automated step decomposition, and AI assertions.Generally available

Harness AI terms and data privacy information

Visit the following Harness Legal pages for information about Harness AI data privacy and terms of use:

FAQ

What natural languages does Harness AI support?

Harness AI can generate in widely used languages such as English, Dutch, Spanish, French, German, Hindi, Korean, Mandarin and more.

Does Harness AI support code translation between programming languages?

Yes. Harness AI provides advanced code translation capabilities powered by large language models (LLMs). You can easily convert logic from one programming language to another using natural language prompts—directly within your IDE. For example, you can say, “Convert this Python script to Java” or “Refactor this C++ logic into Go.”

Our system achieves high-fidelity translations through specialized models that understand language-specific idioms and framework equivalences. Currently supported languages and versions include:

Programming LanguageVersion
Java8, 11, 17, 21
Python2.7, 3.6-3.12
JavaScript/TypeScriptES6+, TypeScript 4.x-5.x
C#.NET Framework 4.x, .NET Core 3.x, .NET 5+
C/C++ (C11/C14/C17, C++11/14/17/20)C11/C14/C17, C++11/14/17/20
COBOL (IBM Enterprise COBOL)IBM Enterprise COBOL
FORTRAN (77, 90, 2003, 2008)77, 90, 2003, 2008
Go (1.16+)1.16+
Rust (2018, 2021 editions)2018, 2021 editions
Ruby (2.x, 3.x)2.x, 3.x
PHP (5.x, 7.x, 8.x)5.x, 7.x, 8.x
Kotlin (1.4+)1.4+
Swift (5.x)5.x

Does Harness support LLM-powered translation?

Yes. Harness AI uses powerful LLMs to generate and adapt code like the following:

  • OpenAI GPT-4o
  • Google Gemini Flash
  • Claude 3.7 Sonnet

Are domain-specific use cases supported?

Yes. Harness AI supports domain-specific tasks such as DevOps policy creation, YAML generation, and semantic validation using specialized language models. This ensures high relevance and accuracy for industry-specific needs.

Does Harness AI support runtime awareness features?

Harness AI offers comprehensive runtime awareness capabilities that go far beyond code completion—empowering developers and DevOps teams to manage, automate, and optimize their software delivery processes with precision. We proudly support a comprehensive variety of runtime interaction features, fully integrated into the Harness platform and IDE-based workflows.

Which application delivery features do you support?

Harness AI is designed to supercharge developer productivity by bringing intelligent automation directly into the IDE. It supports the following set of application delivery features that help teams move from idea to deployment faster, with less friction and higher confidence.

  • In-line Autocomplete in IDE
  • Multi-file Edits and Code Generation via Chat
  • Agentic Task Completion (e.g., Refactoring)
  • Build File Generation
  • Non-code Artifact
  • Prompt-to-App (Create & Deploy from a Prompt)
  • Harness AI’s open architecture allows teams to bring their own AI model, templates, tailored to internal frameworks or delivery pipelines.

What agentic features does Harness support?

Harness AI natively supports event-based triggers like commits, bug creation, or test failures. These workflows can be configured through integrations with Git hooks, issue trackers, or CI/CD pipelines—allowing organizations to build automated assistants that react to defined events.

Does Harness support multi-modal input for debugging to identify the source?

Harness AI supports comprehensive multi-modal debugging through:

  • Stack traces: Advanced parsing and analysis of stack traces with context-aware identification of root causes, even in complex distributed systems. Our system correlates traces with codebase history to identify recently changed components that may have introduced issues.
  • UI errors: Visual analysis of UI error screenshots, DOM structures, and console logs to pinpoint frontend issues. The system can identify responsive design breakages, JavaScript exceptions, and CSS conflicts.