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DevOps & Infrastructure

Best AI Tools for DevOps & CI/CD (2026)

AI-powered deployment pipelines, infrastructure as code, container management, and CI/CD automation. Ship faster with AI DevOps tools.

30 outils

Portainer — Docker & Kubernetes Management Made Easy

Portainer is an open-source container management UI for Docker, Swarm, and Kubernetes. Deploy, monitor, and manage containers through an intuitive web interface.

AI Open Source 58Configs
📜

Checkov — Static Security Scanning for IaC and Containers

Checkov is a Bridgecrew static-analysis tool that scans Terraform, CloudFormation, Kubernetes, Helm, Dockerfile, and more for misconfigurations and policy violations before anything is deployed.

Script Depot 55Scripts

Docker (Moby) — The Container Platform That Changed DevOps

Docker is the platform that popularized containerization. It packages applications with their dependencies into standardized containers that run consistently everywhere. Moby is the open-source project behind Docker Engine, the runtime that powers container-based development and deployment.

Script Depot 54Scripts

Devtron — Kubernetes Application Lifecycle Management

An end-to-end platform for deploying, monitoring, and managing applications on Kubernetes. Devtron wraps CI/CD, GitOps, security scanning, and debugging in one dashboard.

AI Open Source 42Configs

Skaffold — Fast Kubernetes Development Workflow from Google

Skaffold handles the inner-loop build-push-deploy cycle for Kubernetes apps. Edit code, and Skaffold rebuilds images, updates manifests, and redeploys to a cluster in seconds — ideal for local dev and CI/CD.

Script Depot 33Scripts
📜

Dokku — The Smallest PaaS Implementation You've Ever Seen

Dokku is a Docker-powered PaaS that helps you build and manage app lifecycles. git push to deploy, automatic SSL, plugin ecosystem — your own Heroku on a single server.

Script Depot 76Scripts

Claude Code Agent: K8s Specialist — Kubernetes Operations

Claude Code agent for Kubernetes. Deployment configs, helm charts, troubleshooting, scaling, monitoring, and cluster management.

Skill Factory 73Skills
🔌

MCPHub — Centralized MCP Server Management Hub

Manage multiple MCP servers from one dashboard. Smart routing, hot-swap config, OAuth 2.0 auth. Deploy via Docker in one command. Apache-2.0, 2,000+ stars.

MCP Hub 72MCP Configs

Docker MCP — Container Management for AI Agents

MCP server that gives AI agents Docker container management capabilities. Build, run, stop, and inspect containers through tool calls for automated DevOps workflows.

MCP Hub 64MCP Configs
📜

Woodpecker CI — Simple Yet Powerful CI/CD Engine

Woodpecker is a lightweight, container-based CI/CD engine forked from Drone. Simple YAML pipelines, Docker-native execution, and multi-platform support.

Script Depot 64Scripts

CapRover — Automated Docker Deployment PaaS with Web UI

CapRover is an open-source PaaS (Heroku on Steroids) with a beautiful web UI, one-click apps, automatic HTTPS, and Docker Swarm support. Deploy any app in seconds.

Script Depot 63Scripts
🧩

Together AI Dedicated Containers Skill for Agents

Skill that teaches Claude Code Together AI's container deployment API. Run custom Docker inference workers on managed GPU infrastructure with full environment control.

AI Open Source 54Skills

K3s — Lightweight Certified Kubernetes Distribution

K3s is a fully compliant, lightweight Kubernetes distribution that runs in less than 512MB RAM. Perfect for edge, IoT, ARM, CI/CD, and resource-constrained environments.

AI Open Source 53Configs
⚙️

Rancher — Complete Container Management Platform

Rancher is an enterprise Kubernetes management platform. It simplifies deploying, managing, and securing multiple Kubernetes clusters across any infrastructure — on-premises, cloud, or edge — with a unified dashboard and centralized access control.

AI Open Source 52Configs

Tekton Pipelines — Cloud-Native CI/CD Primitives for Kubernetes

Tekton Pipelines is a powerful, flexible, open-source framework for creating CI/CD systems. It runs pipelines as native Kubernetes resources using Tasks, Pipelines and TaskRuns.

AI Open Source 47Configs
📜

HashiCorp Nomad — Flexible Workload Orchestrator

Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy containers, VMs, Java apps, and binaries on bare metal. Smaller and simpler than Kubernetes with native Consul and Vault integration.

Script Depot 46Scripts

act — Run GitHub Actions Locally

act lets you run GitHub Actions workflows on your local machine. Test and debug your CI/CD pipelines without pushing to GitHub, using Docker containers to simulate the GitHub Actions runner environment.

Script Depot 45Scripts
📜

Bytebase — Database DevOps and CI/CD for Teams

A web-based database CI/CD platform for DBAs and engineers. Schema review, change approval, GitOps migration pipelines and data access control across MySQL, Postgres, Snowflake, Oracle, TiDB, ClickHouse and more.

Script Depot 42Scripts
⚙️

StackStorm — Event-Driven Automation for DevOps and SRE

An open-source event-driven automation platform that connects sensors, triggers, rules, and actions to automate incident response, deployments, and infrastructure remediation. Often described as IFTTT for Ops.

AI Open Source 34Configs

Knative Serving — Serverless and Event-Driven Workloads on Kubernetes

Knative Serving brings request-driven autoscaling, revision management and a simple Service CRD to Kubernetes so developers can deploy containers as HTTP-accessible services that scale to zero.

Script Depot 34Scripts

Garden — DevOps Automation for Kubernetes Development and Testing

Accelerate Kubernetes development with Garden. Define your stack as a dependency graph, get fast incremental builds, live reloading in remote clusters, and end-to-end testing pipelines.

Script Depot 33Scripts

Polaris — Best Practices Validation for Kubernetes Clusters

Polaris audits your Kubernetes deployments against best practices for security, reliability, and efficiency, with a dashboard, CLI, and admission controller.

AI Open Source 31Configs

KubeSphere — Multi-Cluster Kubernetes Platform

KubeSphere is an open-source container platform that adds multi-tenancy, DevOps pipelines, service mesh, observability, and an app store on top of any standard Kubernetes cluster.

AI Open Source 27Configs
📜

Webhook — Lightweight Server for Running Shell Commands via HTTP

A small, configurable Go server that listens for incoming HTTP webhooks and executes shell commands. Useful for automating deployments, CI/CD triggers, and integrating services that send webhook notifications.

Script Depot 27Scripts

OneDev — Self-Hosted Git Server with Built-In CI/CD and Kanban

OneDev is an all-in-one DevOps platform that bundles Git repository hosting, CI/CD pipelines, issue tracking, and a Kanban board in a single Java binary with zero external dependencies.

AI Open Source 22Configs
⚙️

Infracost — Cloud Cost Estimates for Infrastructure as Code

See cloud cost breakdowns before you deploy. Infracost integrates with Terraform and CI/CD to show how every change impacts your bill.

AI Open Source 22Configs
⚙️

Drone — Container-Native Continuous Integration Platform

A self-service CI/CD platform that uses containers for every pipeline step. Drone pipelines are defined in simple YAML and run in isolated Docker containers, making builds reproducible and portable.

AI Open Source 20Configs

bolt.diy — AI Full-Stack App Builder, Any LLM

Community fork of Bolt.new. Prompt, edit, and deploy full-stack web apps with any LLM provider. 19K+ GitHub stars.

Script Depot 94Scripts

Onlook — Visual AI Code Editor for React Apps

Open-source Figma-like visual editor for building React and Next.js apps with AI. Edit visually and code syncs in real-time. Design branching, team collab, deploy. Apache-2.0, 25,000+ stars.

AI Open Source 77Scripts

Candle — Minimalist Machine Learning Framework for Rust

Candle is a Rust-native ML framework focused on inference performance, small binaries, and serverless deployment. It runs Llama, Whisper, Stable Diffusion, and other PyTorch models in pure Rust — no Python required.

AI Open Source 72Configs

AI-Powered DevOps

AI-Powered DevOps

AI is automating the most time-consuming parts of DevOps — incident response, configuration management, and deployment optimization. CI/CD Automation — Dagger provides programmable CI/CD pipelines that run identically on your laptop and in CI. Trigger.dev enables reliable background jobs and scheduled workflows. AI agents that analyze build failures, suggest fixes, and optimize pipeline performance.

Self-Hosting & PaaS — Coolify is a self-hosted Heroku/Vercel alternative that deploys any application with a git push. Daytona provides development environments as code. Both integrate with AI tools for automated scaling, monitoring, and incident response.

Infrastructure as Code — AI tools that generate Terraform, Kubernetes manifests, and Docker configs from natural language descriptions. They understand cloud provider best practices, security requirements, and cost optimization. Agent skills on TokRepo that review your infrastructure configs and suggest improvements.

The best infrastructure is the one that manages itself — AI DevOps tools make that a reality.

Questions fréquentes

How does AI help with DevOps?+

AI assists DevOps in three key areas: 1) Incident response — analyzing logs, correlating events, and suggesting root causes. 2) Configuration — generating and reviewing Terraform, Kubernetes, and Docker configs. 3) Optimization — identifying slow builds, unused resources, and cost-saving opportunities. AI DevOps tools reduce mean-time-to-recovery (MTTR) by helping teams diagnose issues faster.

What is Dagger and why should I use it?+

Dagger lets you write CI/CD pipelines in your programming language (Go, Python, TypeScript) instead of YAML. Pipelines run identically on your laptop and in CI (GitHub Actions, GitLab CI, etc.). Benefits: testable pipelines, no YAML debugging, portable across CI providers, and composable modules. TokRepo hosts Dagger configs for common deployment patterns.

Can AI manage Kubernetes clusters?+

AI tools can generate Kubernetes manifests, review configurations for security issues and best practices, optimize resource requests/limits, and help debug failing deployments. They're excellent for the "day-2 operations" that consume most DevOps time — scaling, monitoring, log analysis, and incident response. However, critical production changes should still be reviewed by humans.

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