A CLI tool that generates starter Go project layouts with Docker, configs, and web server boilerplate.
Scaffold is a Go-based CLI tool that generates starter project layouts for Go applications. It automates the creation of directories, configuration files, Docker setups, and web server boilerplate, enabling developers to begin coding business logic immediately. The tool produces a standardized structure with components like `cmd/`, `config/`, `model/`, and `web/` directories.
Go developers and teams starting new projects who want a production-ready foundation without manual boilerplate setup. It's particularly useful for those building web services or microservices with Docker.
Developers choose Scaffold because it saves time by providing a consistent, best-practice project layout out of the box, complete with Docker support and configuration management. Its simplicity and focus on convention reduce setup complexity compared to manually structuring projects.
Generate scaffold project layout for Go.
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Generates Dockerfile and docker-compose.yml for immediate containerization, along with configuration files for database and HTTP settings, as shown in the project layout.
Creates a consistent Go project layout with directories like cmd/, config/, and web/, promoting best practices and reducing setup complexity, based on the convention-over-configuration philosophy.
Provides starter code for web servers and routes in the web/ directory, allowing developers to skip initial coding overhead and focus on business logic implementation.
Includes a Makefile with commands such as `make run` and `make up`, streamlining build and run processes, as demonstrated in the README instructions.
The generated structure is fixed and doesn't offer customization options during initialization, limiting adaptability for projects with unique architectural needs.
Heavily geared towards web services with generated web server code, making it less suitable for non-web Go projects like libraries or batch processing tools.
The README is minimal and lacks detailed guides on extending the generated code or handling edge cases, which could hinder deeper usage and troubleshooting.