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Alex Spinov
Alex Spinov

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Harness Has a Free API: AI-Powered CI/CD That Writes Your Pipelines

What is Harness?

Harness is an AI-native DevOps platform that automates CI/CD, feature flags, cloud cost management, and chaos engineering. Its standout feature: AIDA (AI Development Assistant) that can generate pipeline configurations, debug failures, and optimize deployments using AI.

Why Harness Over Jenkins/GitHub Actions?

  • Free tier — 2,000 CI build minutes/month, unlimited deployments
  • AI-powered — AIDA generates pipelines from natural language descriptions
  • Built-in verification — automatic canary analysis with Prometheus/Datadog metrics
  • Feature flags — included in the platform, not a separate tool
  • Cloud cost management — see and optimize your cloud spend

Quick Start

# Install Harness CLI
curl -sL https://app.harness.io/public/shared/tools/cli/latest/harness -o harness
chmod +x harness && sudo mv harness /usr/local/bin/

# Login
harness login --api-key YOUR_API_KEY --account-id YOUR_ACCOUNT_ID
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Pipeline as Code

pipeline:
  name: Build and Deploy
  identifier: build_deploy
  stages:
    - stage:
        name: Build
        type: CI
        spec:
          execution:
            steps:
              - step:
                  type: Run
                  name: Unit Tests
                  spec:
                    shell: Bash
                    command: |
                      npm install
                      npm test
              - step:
                  type: BuildAndPushDockerRegistry
                  name: Build Image
                  spec:
                    connectorRef: dockerhub
                    repo: myorg/myapp
                    tags:
                      - <+pipeline.sequenceId>
    - stage:
        name: Deploy to Staging
        type: Deployment
        spec:
          deploymentType: Kubernetes
          service:
            serviceRef: myapp
          environment:
            environmentRef: staging
          execution:
            steps:
              - step:
                  type: K8sRollingDeploy
                  name: Rolling Deploy
                  spec:
                    skipDryRun: false
    - stage:
        name: Deploy to Production
        type: Deployment
        spec:
          deploymentType: Kubernetes
          execution:
            steps:
              - step:
                  type: K8sCanaryDeploy
                  name: Canary 25%
                  spec:
                    instanceSelection:
                      type: Count
                      spec:
                        count: 1
              - step:
                  type: Verify
                  name: Canary Verification
                  spec:
                    type: Canary
                    monitoredService:
                      type: Default
                    spec:
                      sensitivity: HIGH
                      duration: 15m
              - step:
                  type: K8sCanaryDelete
                  name: Canary Cleanup
              - step:
                  type: K8sRollingDeploy
                  name: Full Rollout
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API Usage

# List pipelines
curl -X GET 'https://app.harness.io/pipeline/api/pipelines/list' \
  -H 'x-api-key: YOUR_API_KEY' \
  -H 'Harness-Account: YOUR_ACCOUNT_ID' \
  -H 'Content-Type: application/json' \
  -d '{"filterType": "PipelineSetup"}'

# Trigger pipeline
curl -X POST 'https://app.harness.io/pipeline/api/pipeline/execute/PIPELINE_ID' \
  -H 'x-api-key: YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{"inputSetReferences": []}'
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Harness vs Alternatives

Feature Harness GitHub Actions Jenkins ArgoCD
AI assistant AIDA Copilot None None
Free CI minutes 2,000/mo 2,000/mo Self-host N/A
Canary deploys Built-in Manual Plugin Progressive
Feature flags Built-in Separate Separate None
Cloud costs Built-in None None None
Verification AI-based Manual Plugin None

Real-World Impact

A logistics company deployed 50 times/week with Jenkins. 15% of deployments caused incidents that took 2+ hours to detect. After switching to Harness with canary verification: automatic rollback on metric degradation, incidents from deployments dropped to 2%, and MTTR went from 2 hours to 8 minutes.


Modernizing your CI/CD pipeline? I help teams implement AI-powered deployment strategies. Contact spinov001@gmail.com or explore my automation tools on Apify.

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