One environment
per person, per agent.
Anyone in your organization - engineers, designers, PMs - can spin up a fully configured clone of your production stack. AI agents run autonomously in isolated sandboxes, submit PRs when done, and auto-shutdown when idle.
Laptops can't
run your
stack anymore.
Modern stacks have dozens of services, multiple databases, and AI agents running in parallel. Laptops melt. Cross-platform friction (macOS vs WSL2 vs Linux) wastes platform team time. New-hire onboarding takes a week. And autonomous agents need isolated sandboxes with network controls - not your engineer's laptop.
Local dev is broken at scale
Docker Desktop consumes 12+ GB RAM. Port collisions between clones. File watchers break on WSL2. Bind mount performance is terrible on macOS. Your platform team fixes environment issues instead of building product.
Agents need isolated sandboxes
Running Claude Code autonomously on a developer's laptop means the agent has access to SSH keys, API tokens, and local credentials. That's a significant blast radius for a runaway task.
Non-engineers are locked out
A marketer who wants to test a landing page variant, a PM who needs to reproduce a bug - they can't set up Docker Compose. They file tickets and wait.
Clone, work, ship.
On your Kubernetes.
“We set up Remote Development Environments on Qovery so anyone - engineers, but also non-technical team members - can spin up a fully configured stack on demand. For Claude Code, agents work on tasks unattended for hours inside an isolated sandbox, then surface a PR when done.”
Give everyone
a runway.
Template your stack once. Let every engineer, every agent, every team member spin up their own isolated environment.