Plug Claude into the CI/CD pipeline — start with read-only build failure triage, gradually add write operations behind existing gates, expose deployment tooling through MCP, and tier autonomy by environment. The governing principle is one sentence: 'The agent may act up to the production gate and cannot pass it.'
Stage 6 is both the endgame and the starting point of the AI-Native SDLC: a monitoring script detects an anomaly → Claude writes a diagnosis as intent.md → it flows through the entire development pipeline. Humans shift from 'starting work' to 'triaging and reviewing work.'
CapRover wraps Docker Swarm, Nginx, and captain-definition in a simpler PaaS; stateless apps scale, while local persistent apps remain pinned to one node.
Coolify controls Docker, proxies, and resources on your servers over SSH; deployment gets easier, but OS, security, capacity, data backup, and recovery remain yours.
DigitalOcean App Platform composes Services, Workers, Jobs, Static Sites, and Functions into an App, with an App Spec as the reviewable deployment contract.
Dokku combines a Git receiver, buildpacks or Dockerfiles, process models, Nginx, and plugins for a single-host Heroku workflow; simplicity comes from narrow orchestration scope.
Dokploy supports single-container Applications and Compose or Stack, while treating one host, independent remote servers, and a Swarm cluster as distinct topologies.
Fly.io places fast-starting Machines in chosen regions and connects them through Fly Proxy and private 6PN; cross-region state consistency remains your hard problem.
Kamal deploys immutable images from an operator over SSH and switches traffic through kamal-proxy; it is not a scheduler and does not operate hosts or data.
Koyeb groups Services in Apps, runs revisions as Instances in selected regions, and integrates global routing, autoscaling, private discovery, and CPU or GPU compute.
Kubernetes is fundamentally API objects, controllers, and reconciliation loops—not YAML; it manages workload lifecycles without solving application state, data consistency, or organizational governance.
Pulumi lets general-purpose programs register cloud resources for a deployment engine, providers, and stack state to preview and update; greater language power demands stronger abstraction discipline.
Railway is not merely one-click deployment; it puts container services, environments, variables, and private networking into one operable application project.
Render's value exceeds turning a repository into a URL: distinct service types model public HTTP, private listeners, queue workers, cron, data stores, and Blueprint infrastructure.
Renovate is more than an update-PR bot: packageRules, grouping, schedules, minimum release age, and automerge policy determine update speed, review noise, and supply-chain exposure.
Terraform compares provider schemas, configuration, state, and real APIs to create a plan and apply it; controlled state and change workflow matter more than HCL itself.
Cloudflare ran a Multi-Agent Code Review system internally for 30 days — 131K reviews, median 3 minutes. This post breaks down their architecture and compares it with solutions from Anthropic, GitHub, CodeRabbit, Greptile, and others.
Docker lets you bundle your application together with its environment, eliminating the 'works on my machine' problem. Combined with multi-stage builds and Compose, it's an essential tool for modern backend deployment.
GitHub Actions is the lowest-friction CI/CD tool available today, ideal for small-to-medium projects. The key to monorepos is using path filters so only affected apps trigger a build.
docker restart does not recreate the container, so changes to volumes in docker-compose.yml only take effect after running docker-compose down && up.
A monolithic nginx.conf becomes unwieldy as services grow. Splitting it into per-service files under conf.d/ via include is the standard solution.
Cloudflare Custom Error Pages require a paid plan. On the Free Plan, use a Worker with inline HTML to intercept 5xx responses instead.