docs: update changeset with model config while preserving existing changes

tasks/task_049.txt

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+# Task ID: 49
+# Title: Implement Code Quality Analysis Command
+# Status: pending
+# Dependencies: None
+# Priority: medium
+# Description: Create a command that analyzes the codebase to identify patterns and verify functions against current best practices, generating improvement recommendations and potential refactoring tasks.
+# Details:
+Develop a new command called `analyze-code-quality` that performs the following functions:
+
+1. **Pattern Recognition**:
+   - Scan the codebase to identify recurring patterns in code structure, function design, and architecture
+   - Categorize patterns by frequency and impact on maintainability
+   - Generate a report of common patterns with examples from the codebase
+
+2. **Best Practice Verification**:
+   - For each function in specified files, extract its purpose, parameters, and implementation details
+   - Create a verification checklist for each function that includes:
+     - Function naming conventions
+     - Parameter handling
+     - Error handling
+     - Return value consistency
+     - Documentation quality
+     - Complexity metrics
+   - Use an API integration with Perplexity or similar AI service to evaluate each function against current best practices
+
+3. **Improvement Recommendations**:
+   - Generate specific refactoring suggestions for functions that don't align with best practices
+   - Include code examples of the recommended improvements
+   - Estimate the effort required for each refactoring suggestion
+
+4. **Task Integration**:
+   - Create a mechanism to convert high-value improvement recommendations into Taskmaster tasks
+   - Allow users to select which recommendations to convert to tasks
+   - Generate properly formatted task descriptions that include the current implementation, recommended changes, and justification
+
+The command should accept parameters for targeting specific directories or files, setting the depth of analysis, and filtering by improvement impact level.
+
+# Test Strategy:
+Testing should verify all aspects of the code analysis command:
+
+1. **Functionality Testing**:
+   - Create a test codebase with known patterns and anti-patterns
+   - Verify the command correctly identifies all patterns in the test codebase
+   - Check that function verification correctly flags issues in deliberately non-compliant functions
+   - Confirm recommendations are relevant and implementable
+
+2. **Integration Testing**:
+   - Test the AI service integration with mock responses to ensure proper handling of API calls
+   - Verify the task creation workflow correctly generates well-formed tasks
+   - Test integration with existing Taskmaster commands and workflows
+
+3. **Performance Testing**:
+   - Measure execution time on codebases of various sizes
+   - Ensure memory usage remains reasonable even on large codebases
+   - Test with rate limiting on API calls to ensure graceful handling
+
+4. **User Experience Testing**:
+   - Have developers use the command on real projects and provide feedback
+   - Verify the output is actionable and clear
+   - Test the command with different parameter combinations
+
+5. **Validation Criteria**:
+   - Command successfully analyzes at least 95% of functions in the codebase
+   - Generated recommendations are specific and actionable
+   - Created tasks follow the project's task format standards
+   - Analysis results are consistent across multiple runs on the same codebase