Push code and let AI handle the rest. Automated builds, tests, previews, and zero-downtime production deployments.
Deployment should be boring. Push a commit, tests run, a preview environment spins up, stakeholders approve, and the change goes to production with zero downtime. In practice, most teams have a patchwork of scripts, manual steps, and tribal knowledge that makes deployments stressful and error-prone. Agentik {OS} builds a reliable, automated deployment pipeline tailored to your stack.
Our deployment agents configure CI/CD workflows from scratch or optimize your existing pipeline. They set up build caching, parallel test execution, preview deployments for every pull request, staged rollouts, automatic rollback on error, and post-deploy monitoring. Every step is documented and version-controlled.
Beyond CI/CD, Agentik {OS} agents manage your infrastructure configuration. Environment variables, secrets, database migrations, CDN cache invalidation, and DNS updates are all handled as part of the deployment workflow. Nothing is manual, nothing is forgotten.
The agent analyzes your project structure, framework, dependencies, and hosting platform to determine the optimal deployment strategy.
CI/CD workflows are created for GitHub Actions, GitLab CI, or your preferred platform. Build, test, lint, and deploy stages are configured with proper caching.
Every pull request gets an isolated preview deployment with its own URL. Database seeds and environment variables are configured automatically.
Zero-downtime deployments with staged rollouts. The agent monitors error rates and performance metrics post-deploy and triggers automatic rollback if thresholds are exceeded.
Health checks, error rate alerts, and performance dashboards are configured to catch issues within minutes of deployment.
Vercel, Netlify, Railway, Fly.io, AWS (ECS, Lambda), Google Cloud Run, and self-hosted Docker environments. The agent adapts the pipeline to your chosen platform.
After deployment, the agent monitors error rates and response times for a configurable window (default 10 minutes). If metrics exceed your defined thresholds, it automatically reverts to the previous version and alerts your team.
Yes. The agent detects which packages changed in a monorepo and only builds and deploys the affected services. Turborepo, Nx, and pnpm workspaces are all supported.
See how our AI agents handle deployment automation and dozens more tasks autonomously.
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