cfn-diagram VS aws-robomaker-sample-application-meirorunner

What do you think, is it worth writing a patch for cfn-diagrams to create these links automatically?

{ "week": [ { "Id": "16", "AWS-Services": [ "AWS CloudFormation", "AWS CloudTrail", "AWS Config", "Amazon CloudFront", "AWS Cost Explorer", "AWS Lambda", "AWS Key Management Service", "Amazon Athena" ], "Languages": [ "Python", "nodejs", ], "Tools": [ { "name": "ORGTOOL", "github": "https://github.com/daknhh/aws-orgtool" }, { "name": "cfn-python-lint", "github": "https://github.com/aws-cloudformation/cfn-python-lint" }, { "name": "cfn-diagram", "github": "https://github.com/mhlabs/cfn-diagram" }, { "name": "Taskfile", "github": "https://github.com/Wildhoney/Taskfile" } ], } ] }

cfn-diagram how many times have you wished you could take your CloudFormation YAML or JSON and then visualise it? When this open source tool provides a CLI as well as integration into tools like VSCode that help visualise CloudFormation templates as draw.io diagrams. Very nice Lars Jacobsson and the MatHem tech team. There is also the experimental cfn-diagram-ci which you can have a look at as well.

aws-robomaker-sample-application-meirorunner this is a cool open source sample application that you can run on AWS RoboMaker and demonstrate reinforcement learning machine learning for robotics. The folks have also written a supporting blog post, Escape from the maze by training a Reinforcement Learning model on AWS RoboMaker Takuji Kawata and Tatsuya Arai provide additional information to help you run this yourself.