Agentic Infrastructure
Agentic infrastructure is infrastructure designed to be operated by AI agents through a single, governed API - with audit, RBAC, and budget controls built into every operation.
AI agents now initiate more infrastructure operations than humans. Every infrastructure platform in production today was designed for humans - dashboards, CLIs, YAML, Terraform plans. Agents break that interface model.
Agentic infrastructure closes the gap. Instead of asking an agent to navigate 5 to 8 human-shaped systems, it exposes deploy, provision, scale, and observe operations behind one protocol agents understand - with governance enforced at the boundary.
The companies that get this right will scale AI-driven development. The ones that hand agents raw credentials will get a surprise bill or a security incident. The differentiator is not speed. It is governance.
$ curl -fsSL https://skill.qovery.com/install.sh | bash› Deploy my project with QoveryWhat 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.
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.
Coding Agents Write the Code. Who Verifies It Works? We Built the Answer.
Coding agents are good at reading a spec and producing code. But producing code is one step in a longer process. The real loop is Spec -> Code -> Deploy -> Test -> Verify -> Ship. Agents stop at step two.
OpenAI Just Proved Our Thesis: Everyone Is a Builder Now. Here's What Comes Next.
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The Lovable Experience. Enterprise Governance. Your Infrastructure. We Built It.
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The Best AI Coding Agent Sandboxes Compared (2026)
A practical comparison of AI coding agent sandboxes in 2026 - OpenAI Codex, Cursor cloud agents, Claude Code, GitHub Copilot agent, and Qovery. See which give agents real environments to deploy, test, and verify their own code.
Base44 vs Lovable: Which AI App Builder Should You Use in 2026?
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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.
The Best Tools for Integrating AI Agents with Kubernetes in 2026
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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.
Secret Manager Integration: One Source of Truth for Humans and Agents.
Production secrets should live in one place and stay there, whether your next deployment is triggered by a developer or an AI agent. The Secret Manager integration connects AWS Secrets Manager, AWS SSM, or GCP Secret Manager to Qovery so secrets are referenced, never copied, and enterprise governance holds regardless of who deploys.
$500 Million in One Month: What Happens When AI Has No Guardrails
A company burned $500M in Claude credits because nobody set a limit. Uber exhausted its 2026 AI budget. Microsoft canceled Claude Code licenses. The problem isn't AI - it's the total absence of governance around how people use it.
Your Company Has 10x More Developers Than You Think
The low-code promise failed for 15 years. AI builders delivered in 15 months. Here's what actually changed, why the engineer in me resisted it, and what it means for every CTO.
Cursor Cloud Agents Are Incredible - Until You Need Production Governance
Cursor Cloud Agents are the best AI coding environment for individual developers. But for enterprises that need AI-written code to ship through staging to production with audit trails, RBAC, and compliance - there's a gap.
AI DevOps in 2026: How AI Coding Tools Are Breaking Your CI/CD Pipeline (and How to Fix It)
AI coding tools turned every engineer into a 10x developer. Now your CI/CD pipeline is the bottleneck. Learn how to handle 10x more deploys per engineer with Qovery's dual deployment model.
What is agentic infrastructure?
Agentic infrastructure is a category of infrastructure control plane designed to be operated by AI agents through a single, governed API. It unifies CI/CD, Kubernetes, Terraform, secrets, and monitoring so agents can operate infrastructure - not just run code - with audit, RBAC, and budget controls built into every operation.
How is agentic infrastructure different from a sandbox?
A sandbox solves code execution - giving an agent a safe place to run code. Agentic infrastructure solves orchestration: databases, networking, secrets, CI/CD, environments, and monitoring accessible through one API. Agents need the full stack, governed, not just an isolated runtime.
Why do AI agents break traditional infrastructure platforms?
Traditional platforms were built for humans navigating dashboards, CLIs, and YAML through muscle memory. Agents cannot. A modern stack is 5 to 8 systems with different interfaces, and that interface mismatch is now the primary bottleneck in AI-driven development.
See agentic infrastructure in action.
Watch an AI agent deploy a full-stack app on your own Kubernetes - governed end to end by your RBAC, budgets, and audit policies.