The Tool Desk
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1. Preserve the draft and define what it should show
Save a copy of the diagram and, if available, its editable source before making changes. First identify its purpose: a high-level system context, deployed AWS resources, a network path, or an application data flow. Each scope can legitimately leave out different details, so an omitted service is not evidence that the real workload does not use it.
Use the diagram’s intended scope to decide what must be checked. For example, a network-path diagram needs verified routes and boundaries; an application-flow diagram needs verified data or request relationships. Avoid adding details simply because an AI-generated draft looks incomplete.
2. Verify every AWS resource and icon
Make an inventory of each service label and symbol. For every item, record the AWS service it is meant to represent, its role, the account, Region, or environment if relevant, and the evidence supporting its inclusion. Check ambiguous symbols against AWS Architecture Icons. AWS warns that third-party icon libraries may contain legacy icon sets. Its current page says icon packages are released in Q1, Q2, and Q3, with no Q4 release; check the official page when refreshing assets because icon packages can change.
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Do not choose a service based on resemblance alone. Confirm that the design or implementation actually uses the named service and that its depicted role is accurate. If the source material does not establish which service an ambiguous symbol represents, mark it for confirmation rather than silently assigning it a meaning.
3. Check every connection for meaning, endpoints, and direction
Review each line or arrow independently. Write down what it is intended to mean—such as a request, event, data transfer, control-plane action, network route, or dependency—and verify both endpoints and the direction against the design, code, IaC, and relevant service documentation.
Rank #2
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A line between two boxes can look plausible while leaving the technical relationship unclear. Where the architecture source establishes the detail, label important flows with their protocol, trigger, or data. Do not infer runtime behavior from a static drawing: no diagram-only method can establish every operational relationship.
4. Compare the diagram with IaC and the deployed environment
When the workload is defined in IaC, inspect the relevant AWS CDK, Terraform, or other source files for declared resources and explicit dependencies. IaC is a stronger reference than an AI-generated image for what a submitted template declares. If the question is what is running now, also consult the deployed inventory and configuration; a template alone does not prove that the deployed environment matches it.
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AWS’s architecture review guide describes reviews that analyze submitted IaC templates against Well-Architected Framework guidance. The guide names AWS CDK and Terraform as supported project types. Such a review can help assess declared template content and identify best-practice issues, but it does not prove that every arrow matches runtime behavior or that the deployed environment matches the template.
5. Use Well-Architected guidance to assess design quality
Once factual errors in components and connections are corrected, assess whether the design decisions fit the workload. The AWS Well-Architected Framework provides questions and practices for evaluating architecture qualities. AWS characterizes a review as a constructive discussion of architectural decisions, not an audit. Use it to surface design risks and improvement opportunities—not as a diagram renderer or a guarantee that a diagram exactly represents production.
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6. Update the diagram and retain traceability
Replace wrong icons and labels, correct arrow direction and meaning, and add boundaries or context only when the evidence supports them. Keep the diagram in an editable format and record decisions about uncertain relationships so another reviewer can distinguish verified facts from assumptions. Recheck icons against the official AWS package when updating the diagram later.
AWS lists diagramming resources including Draw.io, Cacoo, Creately, Figma, Cloudcraft, and Cloudviz.io on its icon page. Choose a tool based on whether it preserves editability, works with the team’s existing input and export formats, makes AWS icons easy to maintain, supports collaboration, and suits the detail the diagram needs. The listing is a resource list, not an endorsement.
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What AWS architecture reviews can—and cannot—check
AWS documents architecture reviews that accept IaC input as an S3 object or archive, or as a folder. The current guide specifies a 25 MB maximum ZIP size, or an S3 folder maximum of 100 MB with no individual file over 1 MB; the S3 bucket is expected to be in the same Region as the agent profile. Reviews are manually initiated and limited to five per day per profile. These operational requirements may change, so confirm the live AWS architecture review user guide before using the feature.
AWS also describes a specific AI-assisted workflow that analyzes an uploaded AWS architecture diagram, generates a description, and produces AWS CDK code in its diagram-to-IaC guidance. That guidance explains one solution design; it is not evidence that arbitrary AI-generated diagrams have already been independently checked, or that generated code is safe to deploy without review.
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