Create config.yml

[Dargon789]

Summary by Sourcery

CI:

• Introduce CircleCI 2.1 pipeline with a docker-based say-hello job and workflow

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[sourcery-ai]

Reviewer's Guide

Introduces a new CircleCI configuration file establishing a basic CI pipeline that defines a say-hello job on a Docker executor and orchestrates it via a workflow.

File-Level Changes

Change	Details	Files
Initialize CircleCI pipeline with version 2.1	Set version to 2.1 Add documentation links for config reference	.circleci/config.yml
Define say-hello job using docker executor	Specify cimg/base:current as docker image Add checkout step Add run step to echo "Hello, World!"	.circleci/config.yml
Set up workflow to run the say-hello job	Add workflows section with say-hello-workflow name Invoke the say-hello job within the workflow	.circleci/config.yml

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[gemini-code-assist]

Summary of Changes

Hello @Dargon789, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

The primary purpose of this pull request is to establish an initial continuous integration setup for the repository. It introduces a foundational CircleCI configuration file that defines a basic workflow to ensure the CI system is operational and can execute simple tasks. This lays the groundwork for more complex build and test processes in the future.

Highlights

• CircleCI Configuration: A new CircleCI configuration file (.circleci/config.yml) has been added to the repository.
• Initial CI Workflow: This configuration introduces a basic workflow named say-hello-workflow which includes a single job, say-hello.
• Simple "Hello, World!" Job: The say-hello job is configured to use the cimg/base:current Docker image, check out the repository code, and execute a simple echo Hello, World! command.

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[sourcery-ai]

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[gemini-code-assist]

Code Review

This pull request introduces a default CircleCI configuration file. The current configuration is a good starting point but uses several placeholders and follows practices that could be improved for better pipeline stability and maintainability. My review includes suggestions to pin the Docker image to a specific version for reproducible builds, replace placeholder names and commands with more descriptive and meaningful ones, and remove boilerplate comments to improve readability.