Amazon Q Project Learning

# Amazon Q Learning Files This document explains the standardized naming convention for Amazon Q learning files across different projects and directories. ## Naming Convention All Amazon Q learning files follow this naming pattern: ``` q-learning-{context}.md ``` Where `{context}` is a descriptor of the project or area (e.g., "datalake", "streaming", "general"). ## File Locations | File Name | Location | Purpose | |-----------|----------|---------| | `q-learning-general.md` | Home directory (~) | General learnings and insights across all projects | | `q-learning-datalake.md` | Data Lake project directory | Learnings specific to the Data Lake project (Caspian/Khazar) | | `q-learning-announcements.md` | Announcements directory | Learnings related to announcement workflows and communications | | `q-learning-streaming.md` | Streaming project directory | Learnings specific to streaming data projects | ## Purpose These files serve as a knowledge base for Amazon Q to: 1. Better understand your work style and preferences 2. Improve collaboration and assistance 3. Provide more relevant and contextual help 4. Optimize Q CLI token usage by maintaining context ## Usage When working with Amazon Q in a specific project context, it will automatically reference the relevant learning file to provide more tailored assistance. You can update these files manually or ask Amazon Q to update them with new insights from your interactions. ## Format All files use Markdown (.md) format for: - Better structure and readability - Support for rich formatting (headers, lists, code blocks) - Compatibility with version control systems - Easy viewing in most text editors and documentation tools ## Updating Guidelines When updating q-learning files: - PRESERVE the existing structure and content - ADD new learnings to the appropriate sections rather than reformatting the entire document - MAINTAIN the established organization and formatting - EXTEND existing sections with new insights rather than replacing them - RESPECT the document's original structure and flow