Qovery, a DevOps automation platform that makes software deployment effortless across any cloud environment, today announced the release of its AI DevOps Copilot – an AI agent that delivers answers, executes complex operations, and anticipates what’s next. To date, it’s the only automation platform to cover the entire DevOps lifecycle.
Agentic DevOps – From Command Lines to Conversations:
According to Atlassian’s 2025 DevEx, 50% of developers lose 10 or more hours a week on non-coding toil in the software pipeline. Qovery’s AI DevOps Copilot aims to change this by allowing engineers to give instructions in simple language, which the system then executes automatically. This transforms what was once a drain on resources into a competitive advantage.
For example, a team can request simple instructions that unused environments be shut down at the end of the day, or that a new service be deployed at a specific time, or more complex ones – such as “to run dev environments only from Monday 8 a.m. PT to Friday 6 p.m. PT; tear down non-used environments automatically at night; and trigger daily integration tests only if the platform has been unstable in the last 48 hours” and Qovery AI DevOps Copilot will handle the process automatically.
Five Specialised AI Agents to Cover the Complete DevOps Lifecycle:
- AI Provision Agent: Automates environment creation and scaling by interpreting natural-language requests to allocate resources on demand, enforce quotas, and optimize infrastructure usage.
- AI FinOps Agent: Improves efficiency by detecting idle environments, scheduling shutdowns, and identifying opportunities to reduce spend.
- AI Observability Agent: Enhances incident response by retrieving logs, identifying anomalies, and suggesting solutions before issues escalate.
- AI DevSecOps Agent: Strengthens governance by enforcing compliance, requiring confirmations for sensitive actions, and maintaining a full audit trail.
- AI CI/CD Agent: Simplifies deployment and pipeline management with natural-language prompts for scheduling releases and managing test queues.
Related Content: DevOps Automation Startup Qovery Raises $13 million
Strong Safeguards Built on Specialised Data:
Prompts are processed through Claude AI (Anthropic’s model), but private data and credentials are never transmitted. All actions are bound by role-based permissions, requiring explicit approval internally for high-stakes decisions like deleting databases or applications.
Learnings from Qovery’s five years of experience streamlining the entire DevOps lifecycle – thousands of clients over 25 million applications, and 30+ million infrastructure operations – are built into DevOps Copilot’s five AI agents.
Tool Agnostic to Complement, Not Replace, the DevOps Tool Stack:
Too many tools in the software pipeline can reduce developer efficiency. However, engineers aren’t looking for the fewest tools, they want the best tool for each job. Copilot, therefore, is totally agnostic – working with any tool currently employed by teams.
Romaric Philogène, CEO and cofounder of Qovery, said: “DevOps was never meant to be about babysitting infrastructure. It was meant to enable velocity and resilience. But somewhere along the way, the complexity became the job itself. With DevOps Copilot, we are rewriting that story. We believe the next generation of DevOps is agentic. AI doesn’t replace engineers; it amplifies their impact by automating the work that distracts them from innovation. This is not just a product launch, it is the start of an industry shift where infrastructure finally gets out of the way.”
Two early pilot customers already tested Copilot during its pre-launch phase. Their feedback informed Qovery’s development roadmap.
