Shoulder.dev transforms codebases into tailored learning experiences. Below are organized categories of the codebase to help you start with your initial focus.
Understanding how Docker commands are structured, defined, and executed. This includes analyzing the command package and how different commands interact with the CLI framework.
Delving into the lifecycle of a Docker command, from parsing arguments and options to interacting with Docker’s API and displaying results. This involves understanding how the CLI interacts with the docker daemon.
Examining how Docker CLI stores and manages user configurations, contexts (different Docker environments), and credentials. This involves analyzing the config, context, and credentials packages.
Understanding how the CLI interacts with the Docker API (via the docker daemon) to perform operations like container management, image building, and network manipulation. This involves exploring the client and api packages.
Analyzing how the CLI manages different Docker resources, including containers, images, networks, volumes, and secrets. This involves studying the corresponding packages like container, image, network, volume, and secret.
Investigating how the CLI formats and filters the output of commands for user readability. This includes exploring the formatter package and different output formats like JSON, table, and plain text.
Analyzing how the CLI handles errors, logs messages, and provides user-friendly feedback. This involves understanding how errors are propagated and logged using packages like debug, errors, and logs.
Exploring the testing and debugging frameworks used for the Docker CLI. This includes analyzing the internal/test package, unit tests, integration tests, and end-to-end (E2E) tests.
Examining the CI/CD pipelines for the Docker CLI, including automated builds, tests, and deployments. This involves analyzing the GitHub workflows defined in .github/workflows and the scripts/build and scripts/test folders.
Exploring how Docker CLI implements security best practices, including input validation, authentication, authorization, and secure communication with the Docker daemon. This involves analyzing the trust, internal/oauth, and connhelper packages.
Understanding the plugin system for Docker CLI and how it allows for extending functionality. This includes analyzing the cli-plugins directory and exploring how plugins can be developed and integrated.
Investigating how the Docker CLI supports different operating systems (Windows, Linux, macOS) and architectures. This involves understanding how the CLI handles platform-specific features and dependencies.
Analyzing how the CLI provides a user-friendly interface for interacting with Docker, including command line options, completion, and help documentation. This involves studying the flags, hints, and contrib/completion folders.
Understanding how the Docker CLI interacts with Docker Compose to manage multi-container applications. This includes analyzing the compose package and how it handles Compose files and commands.
