Amazon Technologies, Inc.

Mike Paul Spertus

Timothy Simon Bell

Idiomatic generation of language-specific bindings of application programming interfaces (APIs) is disclosed. A machine learning model may be trained using example programming code and interfaces of a particular programming language to identify design patterns and best coding practices for that language. A specification defining an API may then be provided in a language-neutral format. The specification may then be processed according to the trained model in coordination with language-specific and language-neutral rules to generate an idiomatic interface specification targeting the programming language that incorporates at least a portion of the identified design patterns and best coding practices, where the input specification does not incorporate the identified design patterns and best coding practices.

Idiomatic programmatic interface generation

Unified automation of application development and delivery is provided. An automation pipeline execution coordinator may define a pipeline specification that includes actions to be performed, a triggering event definition and specification for determining execution context. The coordinator may concurrently detect triggering events for multiple pipelines matching the pipeline specification, and responsive to the detecting, determine execution contexts for the pipelines. The coordinator may then execute the multiple pipelines, where execution may proceed independently for pipelines with differing execution contexts. For pipelines sharing an execution context, execution of various actions of the respective pipelines may be coordinated. Execution context may be determined according to the specification for determining execution context, which may include an overridable default specification that determines context by locations of source data related to the triggering event. Pipeline specifications may be defined using pipeline specification templates and input from users obtained via various user interfaces.

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Chicago, IL, United States of America

Mike Paul Spertus