ArchGenie is an AI cloud architect for AWS, Azure and GCP that generates diagrams, Terraform, security grades and costs. Free plan; Pro from €24/mo.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
ArchGenie is an AI cloud architect for AWS, Azure and Google Cloud. A user describes a system, sketches it, or uploads a screenshot or whiteboard photo, and the tool returns a complete cloud solution rather than a single artifact. The output includes a diagram, infrastructure code, a security grade, a cost estimate and documentation.
The product is aimed at engineers who design and ship infrastructure. Its footer describes it as built for engineers who ship infrastructure, and its feature set reflects that focus: validated code, pull request export and policy-oriented security checks. ArchGenie generates and reviews designs, while deployment stays with the user.
A session starts with a description, an image or a template. ArchGenie then generates the diagram, code, security findings, cost breakdown, observability configuration and documentation in one flow. Every code file is validated and security-scanned before the user sees it, and the cost panel marks any SKU missing from its pricing database.
Refinement happens in the same chat. A user can ask to add a Redis cache or switch from RDS to Aurora, and only the parts that depend on the change are re-derived, so the rest stays stable. Branching a chat allows alternatives to be explored without overwriting earlier work. The finished output is exported through Git, ZIP or the inline editor.
The core output is infrastructure code in Terraform, Pulumi or Bicep, with a file structure and automated fixes. Each architecture receives an A to F security grade based on the percentage of policy checks passed, broken down by encryption, network, identity, logging and deletion protection. Cost estimates are per resource, with optimization insights and a savings calculator comparing reserved, spot and on-demand options.
Editing is flexible. A full code editor re-validates on save, and Fix with AI propagates changes across dependent files. Clicking a service on the diagram lets users remove it, replace it or add high availability. Observability-as-Code generates dashboards, alarms and notification channels, and the template library covers RAG pipelines, data lakehouses, event-driven systems and zero trust networks.
ArchGenie is an AI cloud architect for AWS, Azure and Google Cloud. From a description, sketch or upload, it generates an architecture diagram, validated infrastructure code, a security grade, a cost estimate and documentation.
The Free plan costs €0 with 10 credits per month. Pro is €29 per month or €24 per month billed annually, and Team Pro is €39 per seat per month or €390 per seat billed annually. Enterprise pricing is custom.
Yes. The Free plan includes 10 credits per month, diagram generation, Terraform code generation, security scanning, 2 Git exports per month and 1 branch per chat. No credit card is required.
No. It generates code and exports it through Git pull requests, ZIP or the inline editor. Users deploy from their own pipeline with their own credentials, and cloud credentials and Terraform state are never sent to ArchGenie.
It supports AWS, Azure and Google Cloud, plus Kubernetes ecosystem diagrams and Firebase. Code can be generated as Terraform, Pulumi or Bicep, with Pulumi and Bicep on paid plans.
It exports to GitHub, GitLab and Bitbucket as pull requests and creates Jira issues from findings. Enterprise adds SSO through SAML or OIDC and an audit log API with SIEM integration.
The grade reflects the percentage of policy checks passed after automatic hardening: A at 90% or higher, B at 80%, C at 70%, D at 60%, and F below. It is broken down by encryption, network, identity, logging and deletion protection.
Team Pro adds pooled credits, an admin dashboard with per-member usage, centralized billing, team-shared templates and a 30-day activity log. Enterprise adds SSO, Policy-as-Code and compliance packs.