Code assistance options with AWS services
AWS users select diverse services, considering factors such as the unique requirements of their projects, use cases, developers’ technical needs, developer preferences, and the characteristics of AWS services. To cater to various developer personas, such as data engineers, data scientists, application developers, and so on, AWS has integrated code assistance with many of its code services. If you are an application builder, software developer, data engineer, or data scientist working with AWS services, you would frequently use builder-friendly tools such as Amazon SageMaker as a platform for building AI / machine learning (ML) projects, Amazon EMR as a platform for building big data processing projects, AWS Glue for building extract, transform, and load (ETL) pipelines, AWS Lambda as a serverless compute service for application development. All these services provide tools that help builders and developers write code.
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