remove extra whitespace ahead of bullet points

Author: spier

patterns/1-initial/ai-code-generation-context.md

@@ -43,63 +43,63 @@ Create a `innersource-ai/` folder in the repository root containing:
 
 `PROMPT.md`: Project-specific instructions for AI tools
 
-*  Naming conventions (variables, functions, classes, files)
-*  Logging patterns and error handling approaches
-*  Testing strategy and preferred testing frameworks
-*  Code formatting and style preferences
-*  Common anti-patterns to avoid
-*  Preferred libraries and frameworks for specific tasks
+* Naming conventions (variables, functions, classes, files)
+* Logging patterns and error handling approaches
+* Testing strategy and preferred testing frameworks
+* Code formatting and style preferences
+* Common anti-patterns to avoid
+* Preferred libraries and frameworks for specific tasks
 
 `ARCHITECTURE.md`: Lightweight system overview
 
-*  High-level system architecture and component relationships
-*  Data flow patterns and API design principles
-*  Dependency management guidelines
-*  Module organization and layering principles
-*  Integration patterns with external systems
+* High-level system architecture and component relationships
+* Data flow patterns and API design principles
+* Dependency management guidelines
+* Module organization and layering principles
+* Integration patterns with external systems
 
 `STYLE_GUIDE.md`: Comprehensive coding guidelines
 
-*  Language-specific style rules
-*  Code organization patterns
-*  Documentation standards
-*  Performance considerations
-*  Security guidelines and common vulnerabilities to avoid
+* Language-specific style rules
+* Code organization patterns
+* Documentation standards
+* Performance considerations
+* Security guidelines and common vulnerabilities to avoid
 
 #### Optional Enhancements (Implement As Needed)
 
 ##### Practical Examples
 
 `EXAMPLES/`: Sample code files demonstrating best practices
 
-*  `good-examples/`: Well-written code snippets with explanations
-*  `bad-examples/`: Common mistakes with explanations of why they're problematic
-*  `refactoring-examples/`: Before/after code showing proper improvements
-*  Template files for common patterns (controllers, services, utilities)
+* `good-examples/`: Well-written code snippets with explanations
+* `bad-examples/`: Common mistakes with explanations of why they're problematic
+* `refactoring-examples/`: Before/after code showing proper improvements
+* Template files for common patterns (controllers, services, utilities)
 
 ##### Configuration and Tooling
 
 `CONFIG/`: Shared formatter and analysis configurations
 
-*  `.prettierrc`, `.eslintrc`, or equivalent formatting configs
-*  `.editorconfig` for consistent editor settings
-*  Static analysis tool configurations
-*  Pre-commit hook configurations
+* `.prettierrc`, `.eslintrc`, or equivalent formatting configs
+* `.editorconfig` for consistent editor settings
+* Static analysis tool configurations
+* Pre-commit hook configurations
 
 `INTEGRATION/`: AI tool-specific integration guides
 
-*  GitHub Copilot workspace configuration
-*  Custom GPT instructions and prompts
-*  IDE plugin configurations
-*  CLI tool integration examples
+* GitHub Copilot workspace configuration
+* Custom GPT instructions and prompts
+* IDE plugin configurations
+* CLI tool integration examples
 
 ##### Advanced Features
 
 `EMBEDDINGS/` (Optional): For advanced LLM integrations
 
-*  Searchable knowledge base of project patterns
-*  Vector embeddings of code examples
-*  Semantic search capabilities for finding relevant patterns
+* Searchable knowledge base of project patterns
+* Vector embeddings of code examples
+* Semantic search capabilities for finding relevant patterns
 
 ### Implementation Strategy
 
@@ -116,27 +116,27 @@ Create a `innersource-ai/` folder in the repository root containing:
 
 #### For AI Tool Integration
 
-*  **Direct Reference**: Copy relevant sections into AI tool prompts
-*  **URL Integration**: Reference files via repository URLs in AI tools that support web access
-*  **IDE Integration**: Configure AI plugins to automatically include context
-*  **Custom Workflows**: Integrate context into CI/CD pipelines for automated validation
+* **Direct Reference**: Copy relevant sections into AI tool prompts
+* **URL Integration**: Reference files via repository URLs in AI tools that support web access
+* **IDE Integration**: Configure AI plugins to automatically include context
+* **Custom Workflows**: Integrate context into CI/CD pipelines for automated validation
 
 ### Maintenance Strategy
 
-*  **Version Control**: Track changes to AI context alongside code changes
-*  **Regular Updates**: Review and update context as project standards evolve
-*  **Community Contribution**: Allow contributors to suggest improvements to AI context
-*  **Metrics Tracking**: Monitor the effectiveness of AI context through code review metrics
+* **Version Control**: Track changes to AI context alongside code changes
+* **Regular Updates**: Review and update context as project standards evolve
+* **Community Contribution**: Allow contributors to suggest improvements to AI context
+* **Metrics Tracking**: Monitor the effectiveness of AI context through code review metrics
 
 ## Resulting Context
 
-*  **Improved Code Quality**: AI-assisted contributions become consistent with existing code standards and architectural patterns from the first submission
-*  **Reduced Review Friction**: Maintainers can trust incoming PRs more readily, significantly reducing review fatigue and time-to-merge
-*  **Enhanced Contributor Experience**: Contributors using AI produce better, more maintainable code even on their first attempts, leading to increased confidence and participation
-*  **Scalable Collaboration**: Opens the door to scalable, AI-aware InnerSource collaboration across teams without sacrificing code quality
-*  **Knowledge Preservation**: Project knowledge becomes more explicit and accessible, reducing dependency on tribal knowledge
-*  **Faster Onboarding**: New contributors can leverage AI tools effectively from day one, reducing the learning curve for project-specific patterns
-*  **Consistent Evolution**: As AI tools improve, the context package ensures that enhanced capabilities are channeled toward project-appropriate solutions
+* **Improved Code Quality**: AI-assisted contributions become consistent with existing code standards and architectural patterns from the first submission
+* **Reduced Review Friction**: Maintainers can trust incoming PRs more readily, significantly reducing review fatigue and time-to-merge
+* **Enhanced Contributor Experience**: Contributors using AI produce better, more maintainable code even on their first attempts, leading to increased confidence and participation
+* **Scalable Collaboration**: Opens the door to scalable, AI-aware InnerSource collaboration across teams without sacrificing code quality
+* **Knowledge Preservation**: Project knowledge becomes more explicit and accessible, reducing dependency on tribal knowledge
+* **Faster Onboarding**: New contributors can leverage AI tools effectively from day one, reducing the learning curve for project-specific patterns
+* **Consistent Evolution**: As AI tools improve, the context package ensures that enhanced capabilities are channeled toward project-appropriate solutions
 
 ## Rationale