Qovery

Qovery is an infrastructure control plane for platform teams that use AI coding agents. It solves the problem of agents being good at writing infrastructure code but unsafe to run it directly. The platform lets agents like Claude Code and Cursor execute changes, but only after checking them against your rules.

Language models are non-deterministic. The same prompt can produce different results, sometimes leaving behind orphaned resources or failing midway through a change. Trying to manage this with prompt instructions or deny-lists isn't enough, as they are suggestions, not hard boundaries. An agent can often find a way around them.

Qovery's approach is to separate an agent's intent from the actual execution. The agent states what it wants, like "spin up a preview environment." Qovery receives this as a governed API call and runs procedural code to perform the operation. This removes the language model from the execution path, making the process predictable and safe. It runs on your own cloud account, orchestrating the tools you already use.

Every operation is governed by several guarantees.

• Deterministic execution: The same intent always produces the same operation, every time.
• Atomic changes: An operation either completes successfully or it never starts, preventing half-applied changes.
• Reversible actions: Anything an agent does can be rolled back to its previous state.
• Policy guardrails: All requests are checked against your policies for access, approvals, and cost before execution.
• Full audit trail: Every action is logged and attributed to the specific agent and person who initiated it.
• Concurrency-safe: Multiple agents can operate on the same environment in parallel without state lock conflicts.

Because it provides a complete, attributable log of all changes and runs on your own infrastructure, Qovery is suitable for use in regulated industries. You retain full ownership of your data and resources.