Harness AI
AI for
DevOps & Automation
Testing & Resilience
Security & Compliance
Cost & Optimization
DevOps & Automation
Testing & Resilience
Security & Compliance
Cost & Optimization
DevOps & Automation
Testing & Resilience
Security & Compliance
Cost & Optimization
See the art of the possible with Harness AI.
How can we help you?
Generation completed. Here’s a CI pipeline based on your existing codebase structure and your organization’s best practices. This pipeline:
- Clones the repository
- Runs security scans (SCA, SAST)
- Builds the application using Gradle
- Runs unit tests
- Pushes the containerized application to Harness Artifact Registry
Let me know if you need any modifications!
To evaluate a feature flag called “my_ai_config” using the Harness Browser SDK and retrieve dynamic configuration values, follow these steps:
- Include the Browser SDK
- Initialize the SDK
- Evaluate the feature flag
- Extract configuration values
Here’s an example of how you might implement this in your JavaScript code:
<script>
const factory = splitio({
core: {
authorizationKey: ‘YOUR_SDK_API_KEY’
key: ‘user_key’
}
Summary
I found evidence of xyz-utlis component in your project artifacts:
✅ xz-utils component found:
- Present in multiple artifacts from the proj-web-docker-dev/boutique-web-ui repository
- All artifacts contain 239 components each
- Tags: 1.0.632, 1.0.631, 1.0.630, 1.0.629, 1.0.628
Key FindingsArtifacts with xz-utils:
- proj-web-docker-dev/boutique-web-ui (5+ versions)
- Built via End2End_Delivery_Pipeline
- Currently deployed in both non-prod and prod environments
- Some versions have security vulnerabilities (up to 86 total issues)
xyz-utlis component is actively present in your project's container images and should be monitored for security updates and compliance requirements.
Instance: i-0580775647d2d66fe (c4.4xlarge)
Instance: i-0580775647d2d66fe (db.4xlarge)
Namespace: default
Workload: ccm-ww-2-deployment
How Harness AI Works
Harness AI is embedded intelligence across every module of the Harness Software Delivery Platform. It automates repetitive tasks, predicts failures, optimizes resources, and provides intelligent recommendations throughout the entire software delivery lifecycle: from build and test to deployment, security, and optimization. Harness AI learns from your patterns and workflows to continuously improve delivery performance.
Knows Your Environment
- Built on your secure Software Delivery Knowledge Graph - tailored to your context, team, and compliance needs.
- Adapts rules, policies, and automations to your unique context.
Unblocks Your Engineers
- Accelerates onboarding with memories and blueprints.
- Creates compliant pipelines in minutes without a ticket.
- Meets devs in their IDE, chat, CLI, without learning a new tool.
Guarantees Unified Governance
- Uses the same secure AI guardrails across DevOps, AppSec, Testing, and FinOps.
- Helps standardize workflows across all modules.
- Enforces granular RBAC for AI at an organization, team, or individual level.
Provides Proactive & Explainable Automation
- Detects, triages, and fixes issues before they reach users.
- Prioritizes real risks, filters noise, explains what happened.
- Logs audit trail into every workflow for transparency and compliance.
Agentic Flows
A network of intelligent agents, specialized in DevOps, SRE, Release, AppSec, Test, and FinOps, work together to deliver faster, safer, and more automated software delivery.
Learn more about our DevOps Agent
Software Delivery Knowledge Graph
A continuously updated intelligence layer that brings full context to how your organization delivers software. It captures and connects data from every stage of the SDLC: builds, tests, deployments, incidents, infrastructure changes, and cloud spend.
Learn more about DevOps Knowledge Graph
Intelligent Workflow Orchestration
A workflow layer that sits across all Harness modules, orchestrating actions like pipeline creation, troubleshooting, test runs, rollbacks, and approvals end-to-end.
1. Agentic Flows
A network of intelligent agents, specialized in DevOps, SRE, Release, AppSec, Test, and FinOps, work together to deliver faster, safer, and more automated software delivery. Learn more about our DevOps Agent: https://www.harness.io/blog/introducing-harness-ai-devops-capabilities
2. Software Delivery Knowledge Graph
A continuously updated intelligence layer that brings full context to how your organization delivers software. It captures and connects data from every stage of the SDLC: builds, tests, deployments, incidents, infrastructure changes, and cloud spend.
Learn more about DevOps Knowledge Graph: https://www.harness.io/blog/knowledge-graph-rag
3. Intelligent Workflow Orchestration
A workflow layer that sits across all Harness modules, orchestrating actions like pipeline creation, troubleshooting, test runs, rollbacks, and approvals end-to-end.
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DevOps Agent
Use AI to simplify pipeline management and troubleshooting based on your organization’s context.
Example prompts:
Create a pipeline that builds a Java application and deploys it using the Canary strategy.
Help me set up a new pipeline for building a Gradle Kubernetes application and deploying it to my development cluster.
Create a pipeline with the "Golden K8s Pipeline Template".
See use cases in action: Harness AI for DevOps use cases
Semantic Code Search
Ask a question in natural language and let Harness AI retrieve source code that best answers your question.
Example prompts:
Where do we validate JWT tokens?
How do we compute customer discounts?
Test Intelligence
Use AI-powered Test Intelligence to run specific unit tests related to your code change, slashing test cycle time by up to 80%.
IDP Knowledge Agent
Maximize your return on AI investments and eliminate the bottlenecks in modern software delivery by using the Harness Knowledge Agent to transform the software lifecycle by evolving fragmented delivery processes into a proactive, intelligent Internal Developer Platform that accelerates shipping for developers while ensuring scalable governance for platform teams.
Example prompts:
How can I improve my overall score?
Execute the workflow 'Request Infrastructure - VM or K8s space' with Env=AWS, instance=t2.small.
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Test Automation
Create tests 10x faster using natural language with self-healing capabilities that reduce test maintenance by 70%. Intent-based testing adapts to UI changes automatically, making your tests more stable and reliable.
Example prompts:
Am I on the home page?
Deposit $500 in the checking account.
Select the red shirt and add it to the cart.
Reliability Agent
Continuously scans the application events, infrastructure configuration changes, and resilience test results and recommends creation of new chaos experiments, increase the frequency of certain chaos experiments and potential mitigations to the weaknesses identified, there by increasing the overall efficiency of resilience testing.
Example prompts:
Generate a Chaos experiment to test pod failures in my dev environment.
Release Agent
Release confidently with easily interpreting data and feature operations like deploying, targeting, and managing flags.
Example prompts:
How do I set up a feature flag?
How do I interpret the metrics on my experiments' results?
How can I use the feature flag segments to target specific groups of users?
SRE Agent
Release confidently with easily interpreting data and feature operations like deploying, targeting, and managing flags.
AppSec Agent
Generate security tests, detect threats and vulnerabilities, and get real-time security fixes directly in the code or as a pull request to boost security across the SDLC.
Example prompts:
Add a SAST security scan step to the CI stage.
Scan my Docker image with Semgrep before deploying to staging.
Show me vulnerabilities detected in my last pipeline run and how to fix them.
FinOps Agent
Get smart recommendations, create dashboards, and derive insightful summaries around your cloud costs.
Example prompts:
Create Cost Perspective rules based on Application costs.
Analyze commitments and identify savings opportunities.
Recommend ways to reduce Kubernetes cluster spend.
Productivity Insights
Assess the productivity impact of AI Code Assistants with key metrics and developer sentiment. Validate AI investments, identify areas of highest potential, and track productivity gains over time.
Dashboard Intelligence
Create diverse visualizations automatically, from simple metrics to complex charts, providing actionable business insights with natural language input.
Responsible AI
You own your data
Your data is not used to train AI models
Your sensitive information is always protected
Your data is not stored long term
Built on the strongest governance framework
Frequently Asked Questions
How is Harness different from AI coding tools like GitHub Copilot or ChatGPT?
While AI coding tools accelerate code creation, Harness AI focuses on everything after code is written—the actual bottleneck in software delivery. Harness automates build, test, deploy, secure, and optimize processes. Think of it this way: AI coding tools help you write code faster, but Harness AI ensures that code actually reaches production faster, safer, and with proper guardrails in place.
What specific problems does Harness AI solve?
Harness AI addresses the challenges created when code production accelerates but downstream processes can't keep up:
- Developer toil from manual workflows and context switching
- Security vulnerabilities slipping through fragmented toolchains
- Spiraling cloud costs without visibility or control
- Deployment bottlenecks that slow time to market
- Production incidents requiring manual triage and remediation
What results can we expect from using Harness AI?
Real Harness customer results include:
- Citi: Reduced deployment time from days to 7 minutes
- United Airlines: Accelerated deployments by 75%
- Typical outcomes: Up to 90% reduction in release time, 70% reduction in test creation time, 30-50% reduction in cloud costs, improved build times from hours to minutes, and proactive issue detection vs. reactive firefighting
Does Harness AI replace my existing DevOps tools or team members?
No. Harness AI is designed to enhance your existing ecosystem, not replace it. The platform integrates with 300+ tools including GitHub, GitLab, Jenkins, Jira, AWS, Azure, GCP, and more. Rather than replacing your team, Harness AI eliminates the repetitive, manual tasks that create developer toil—freeing your engineers to focus on innovation and building great software. It augments your team's capabilities by automating pipeline generation, predicting failures before they happen, and providing intelligent recommendations, allowing developers to work at a higher level of impact.