Table of Contents
Quick Answer
Use AI to generate your Dockerfile, CI config, and infrastructure-as-code. Then review each file before first deploy, add health checks, and gate production behind a canary or blue-green strategy.
- AI-generated Dockerfiles often lack multi-stage builds — ask explicitly
- CI pipelines work out of the box; infra IaC needs a human architect review
- Never let AI deploy to production without a rollback plan
What You'll Need
- Source repo in Forgejo, GitLab, or GitHub
- Deployment platform (Coolify, Fly.io, Render, Railway)
- AI IDE or CLI
- Secret management (Vault, Doppler, or platform-native)
Steps
- Generate a Dockerfile. Prompt: Write a multi-stage Dockerfile for a Next.js 15 app using Node 22 Alpine with standalone output.
- Generate CI config. For Forgejo: Write a .forgejo/workflows/deploy.yml that runs tests, builds, and triggers Coolify redeploy.
- Add health checks. Ask: Add a /health route and configure the Dockerfile HEALTHCHECK.
- Infrastructure as code. Prompt: Write Terraform for a Hetzner VPS with Docker and Caddy reverse proxy.
- Secrets. Store in platform vault. Never commit .env files.
- Deploy to staging first. Every PR merge deploys to staging; promote manually to prod.
- Monitor rollout. Tail logs for 10 minutes post-deploy. Set up Sentry for error tracking.
- Rollback plan. Coolify: one-click rollback. Docker: docker-compose up -d --scale app=0 && deploy previous tag.
Common Mistakes
- Root user in Docker. AI sometimes forgets USER node.
- Unbounded layers. Skipping .dockerignore bloats images.
- No liveness/readiness split. Kubernetes needs both.
- Deploying on Friday afternoon. No AI fixes that.
Top Tools
Tool
Purpose
Coolify
Self-hosted PaaS
Docker Buildx
Multi-arch builds
Terraform
Cloud IaC
GitHub Copilot
Inline YAML generation
Argo Rollouts
Canary deployment
FAQs
Can AI write Kubernetes manifests? Yes, but review resource requests and liveness probes carefully.
Does AI understand my cloud provider? AWS, GCP, Azure, Hetzner, and Oracle Cloud are well-known. Niche providers need more context.
What about zero-downtime deploys? Ask for rolling updates with health checks in the CI config.
Can AI debug failed deploys? Paste build logs; it identifies 70% of common Docker and CI errors.
Should I use AI for disaster recovery plans? Yes for drafting; no for executing.
How to prevent secret leaks in CI logs? Mask in GitHub/Forgejo secrets UI; AI respects this when generating YAML.
Conclusion
AI makes DevOps accessible to application developers. Generate the pipeline, review every file, deploy to staging first, always. Self-host with Coolify on Hetzner for $10-20/mo. See our Coolify setup guide↗.