Cloudgeni

Rather than positioning AI as a productivity enhancement that helps engineers write code faster, Cloudgeni treats AI as an autonomous operational agent that can perceive the current state of cloud infrastructure, reason about what needs to change, generate the required Infrastructure as Code to implement those changes, and route those changes through appropriate review and approval workflows.

The IaC generation capability addresses one of the most time-intensive aspects of cloud engineering: translating business requirements and architectural decisions into the precise, properly structured code that provisioning tools like Terraform, AWS CloudFormation, Pulumi, and Azure Bicep require.

Cloudgeni's AI understands cloud provider APIs, resource relationships, security best practices, and cost optimization patterns, enabling it to generate IaC that is not just syntactically correct but architecturally sound.

For infrastructure teams maintaining large codebases of cloud configuration, the AI can also analyze existing IaC, identify inefficiencies, outdated resource configurations, or security risks, and propose improvements.

Drift remediation is the operational problem Cloudgeni addresses with particular urgency. Cloud infrastructure drift the accumulation of differences between the desired state defined in IaC and the actual state of deployed resources is one of the most persistent operational risks in cloud environments.

Drift accumulates as engineers make manual changes to fix immediate problems, as cloud providers automatically update managed service configurations, and as resources are created outside of IaC workflows.

Cloudgeni maintains a continuously updated cloud graph a real-time model of all assets, their configurations, and their relationships that serves as the ground truth for detecting drift and generating the remediation code to bring actual state back into alignment with desired state.