AI DevOps & CI/CD
AI DevOps is the practice of adapting CI/CD pipelines, environments, and deployment workflows so AI agents can ship code at machine speed - through governed, auditable paths that coexist with human Git workflows.
Claude Code, Cursor, and Codex turned your engineers into 10x developers. But your CI/CD pipeline - builds, tests, environment provisioning, deployments - was sized for human-speed development. The bottleneck flipped: it is no longer writing code, it is shipping it.
AI DevOps means two deployment paths coexisting on one platform: prompt-to-deploy from any AI agent for speed, and Git-push-to-deploy with Terraform and PR review for production - both policy-gated, both audited.
These guides cover the modern AI-assisted delivery pipeline: ephemeral environments, preview-per-PR, deployment automation, and the path off legacy platforms.
$ curl -fsSL https://skill.qovery.com/install.sh | bash› Deploy my project with QoveryAI DevOps in 2026: How AI Coding Tools Are Breaking Your CI/CD Pipeline (and How to Fix It)
AI coding tools multiplied output and made CI/CD the bottleneck. How to handle far more deploys per engineer without adding headcount.
Why There's Never Been a Better Time to Leave Heroku (Especially in the AI Era)
Salesforce just put Heroku into maintenance mode and ended Enterprise sales for new customers. The AI era also flipped the migration math: what used to be a six-month project is now a one-prompt, agent-driven move to your own cloud. Here's why now is the best time to leave Heroku.
Architecting backend preview environments: A guide for DevOps engineers
Stop battling shared staging bottlenecks. Learn how DevOps engineers can architect isolated, ephemeral backend preview environments to accelerate development.
The enterprise guide to DevOps automation: scaling kubernetes and delivery pipelines
What DevOps automation covers, which layers to automate first, and how to scale it across Kubernetes without configuration sprawl.
Top 10 Internal Developer Platforms That Streamline Software Delivery
Looking for an Internal Developer Platform? Explore the distinct features of top platforms to make an informed choice that best suits your needs.
10 DevOps automation tools to tame Kubernetes in 2026
Compare the top 10 DevOps automation tools for 2026. Discover the architectural strengths and trade-offs of Terraform, ArgoCD, Qovery, and more.
PaaS vs. DIY IDP: The Fastest Path to a Self-Service Cloud
Building an Internal Developer Platform (IDP) from scratch seems cheaper, but the maintenance costs add up. Discover why a modern PaaS on your own infrastructure is the faster, smarter path to a self-service cloud.
Stop Building Your Own Agent Infrastructure. Meet Agent Tasks
Agent Tasks let you run one-time or scheduled AI agents on your own infrastructure, with network guardrails, centralized MCP access and custom agent environment.
Railway vs Render vs Your Own Cloud Account: What Actually Fits a Scaleup Outgrowing Managed PaaS
An honest 2026 comparison of Railway, Render, Fly.io and deploying into your own AWS, GCP, Azure or Scaleway account - with the six measurable signals you have outgrown managed PaaS, a priced cost model, and a four-step framework with if-then verdicts.
The 12 Tools I Actually Use to Automate Kubernetes Deployments (2026)
A practitioner's category-by-category breakdown of the best tools for automating Kubernetes deployments in 2026 - Argo CD, Flux CD, Helm, Kustomize, KEDA, Kyverno, OPA Gatekeeper, Karpenter, Cluster Autoscaler, Rancher, Portainer, Terraform and Crossplane - plus which 3 to 5 you actually need, and how a platform like Qovery automates the whole chain from cluster creation to upgrades in under 15 minutes.
Infrastructure Automation Tools Comparison: Provisioning vs. Orchestration Layer
Infrastructure automation tools by layer: provisioning (Terraform, OpenTofu, Pulumi, CDK, Crossplane) vs. orchestration (Spacelift, env0, Scalr, Qovery).
Full Control Over Permissions, Welcome API Policy Tokens
API Policy Tokens let you control what a Qovery token can do action by action, using OPA and Rego, so an agent or script never gets more access than the one job it was built for.
Jira and Linear Are Now a Trigger Into Your Governed Infrastructure
Agent Triggers extend Qovery's control plane to a new entry point: a ticket. Tag it on Jira or assign it on Linear, and it triggers the execution of a governed environment on your own infrastructure, where an agent performs whatever action it's configured for, given the context of that ticket, under the same guardrails as any other workload.
Governance Starts at the Network: How We Put AI Agents in Production
AI agents are becoming a new persona in the org chart. Learn how Qovery enforces data control, limited access, and auditability at the network level.
Your Agents Need Infrastructure Too. Meet Qovery Blueprints.
AI agents are provisioning infrastructure now, not just writing code. Qovery Blueprints let you define what an agent, or a developer, is allowed to deploy and under what cost rules, so that self-service or delegation doesn't mean losing control.
Claude Routines Need a Governed Home: Centralizing What Your AI Agents Can Reach
Claude Routines are a great automation primitive. But the network rules that decide what an agent can reach are set per engineer - and that's the real enterprise risk. Here's why Routines need a centrally governed home.
What Is an MCP Server for Infrastructure? How AI Agents Deploy Safely
An MCP server is the standardized bridge that lets AI agents like Claude Code and Cursor operate real infrastructure - deploy apps, provision databases, manage environments - through one governed API. Here's how MCP servers work for infrastructure, why they matter, and how to give agents production access without losing control.
The Best AI Coding Agent Sandboxes Compared (2026)
AI coding agent sandboxes compared for 2026: OpenAI Codex, Cursor cloud agents, Claude Code, GitHub Copilot agent and Qovery.
The Best Tools for Integrating AI Agents with Kubernetes in 2026
A practical guide to the best tools for both using AI agents to manage Kubernetes (AIOps) and running AI agent workloads on Kubernetes infrastructure in 2026.
How Kubernetes AI Agents Improve Cluster Management
AI agents compress Kubernetes incident diagnosis from 45 minutes to seconds, eliminate YAML authoring toil, and shift resource tuning from static to continuous. Here is what changes concretely when they enter your workflow.
How the market pulled us into becoming an agentic platform
We didn't decide to become an agentic platform - our customers pulled us there. Here's why infrastructure breaks first when agents show up, the problems nobody planned for, and how to move fast with control.
What Is an Agentic Infrastructure Platform - and Why Every Company Needs One
An agentic infrastructure platform is a new category of infrastructure control plane designed for AI agents. It unifies the fragmented toolchain behind one API so agents can operate infrastructure - not just run code - with governance built into every operation. Here's why every company needs one.
3 Platform Engineering Shifts From Devoxx France 2026
Three days, 20 talks at Devoxx France 2026. The through-line wasn't AI hype - it was discipline. Context engineering, code review under AI volume, and the local-vs-remote question now shaping security, cost, and sovereignty.
OpenAI Just Proved Our Thesis: Everyone Is a Builder Now. Here's What Comes Next.
OpenAI reports 5M weekly Codex users - 20% non-developers, growing 3x faster. Six role plugins, hosted Sites, zero enterprise governance. The governed runtime is what's missing.
Longer, question-shaped articles that work through a single buying decision end to end. They are not listed on the blog index.
Frequently asked
Why is CI/CD the bottleneck for AI-assisted development?
How do AI agents and GitOps work together?
Build with AI. Deploy with Qovery.
Any coding agent builds it; Qovery ships it - governed by construction. Prompt-to-deploy and Git-push-to-deploy on one platform.