Design better cloud systems with AI doing the heavy lifting on the routine parts.
Get the Cloud Architect briefIn 2026, AI is reshaping how Cloud Architects handle infrastructure as code, cost analysis, and architecture documentation. Assistants now draft Terraform and CloudFormation modules, flag security misconfigurations during review, and generate architecture diagrams from plain descriptions. This shifts the architect's day toward validation, tradeoff decisions, and stakeholder alignment rather than first-draft authoring.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
I am designing a [workload type] on [cloud provider]. Compare using [option A] versus [option B] across cost, availability, latency, and operational complexity. Give a recommendation with the main risks of each.Review this [Terraform/Bicep] code for security and reliability issues. Flag overly permissive IAM, public exposure, missing encryption, and single points of failure: [paste code].Here is my current architecture: [describe resources and usage]. Suggest cost reductions ranked by savings and effort, noting any availability or performance tradeoffs for each.Design a disaster recovery approach for [application] running on [provider] with an RTO of [time] and RPO of [time]. Cover backup, failover, and the estimated monthly cost.Write an architecture decision record for choosing [technology] over [alternatives] for [use case]. Include context, the decision, consequences, and rejected options.One AI tool, one prompt, and one trick for Cloud Architects, every weekday morning. Free.