practicalli/engineering-playbook

AI Summary: The task is to contribute to the Practicalli Engineering Playbook, a collection of engineering guides, by potentially adding content related to AI and Large Language Models (LLMs), specifically addressing the issue of AI generating non-valuable results (not hallucinations). This might involve writing a guide on how to evaluate and filter LLM outputs for practical use, or improving existing content to incorporate this aspect.

AI Summary: The task is to create a documentation page for the Practicalli Engineering Playbook, detailing how to use the `curl` command-line tool for testing REST APIs. This includes explaining various `curl` options for different HTTP methods (GET, POST, PUT, DELETE), handling different data types (form data, JSON), authentication methods (Basic Auth, Bearer tokens, API keys), and file uploads. The documentation should be clear, concise, and include practical examples.