Validating Python code with a CodeCatalyst pipeline

CodeCatalyst is a unified development environment created by AWS.

It has many features such as blueprints to assist in writing code, integrated Git repositories, dev environments which can be pre-defined and now AI integration. However, for myself, one of the most useful things is being able to define and use pipelines stored in the code repository.

Pipelines are one of the most commonly used tools that many of us working with code and Cloud use, allowing us to automate tasks to be carried out when we make changes to our code, whether that’s checking that our code works, building artefacts and packages, and deploying to our environments.