96 lines
4.4 KiB
Plaintext
96 lines
4.4 KiB
Plaintext
# Task ID: 27
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# Title: Implement Context Enhancements for AI Operations
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# Status: pending
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# Dependencies: 26
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# Priority: high
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# Description: Enhance the basic context integration with more sophisticated code context extraction, task history awareness, and PRD integration to provide richer context for AI operations.
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# Details:
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Building upon the foundational context implementation in Task #26, implement Phase 2 context enhancements:
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1. Add Code Context Extraction Feature:
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- Create a `--context-code <pattern>` option for all AI commands
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- Implement glob-based file matching to extract code from specified patterns
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- Create intelligent code parsing to extract most relevant sections (function signatures, classes, exports)
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- Implement token usage optimization by selecting key structural elements
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- Add formatting for code context with proper file paths and syntax indicators
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2. Implement Task History Context:
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- Add a `--context-tasks <ids>` option for AI commands
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- Support comma-separated task IDs and a "similar" option to find related tasks
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- Create functions to extract context from specified tasks or find similar tasks
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- Implement formatting for task context with clear section markers
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- Add validation and error handling for non-existent task IDs
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3. Add PRD Context Integration:
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- Create a `--context-prd <file>` option for AI commands
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- Implement PRD text extraction and intelligent summarization
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- Add formatting for PRD context with appropriate section markers
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- Integrate with the existing PRD parsing functionality from Task #6
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4. Improve Context Formatting and Integration:
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- Create a standardized context formatting system
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- Implement type-based sectioning for different context sources
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- Add token estimation for different context types to manage total prompt size
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- Enhance prompt templates to better integrate various context types
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These enhancements will provide significantly richer context for AI operations, resulting in more accurate and relevant outputs while remaining practical to implement.
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# Test Strategy:
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Testing should verify the enhanced context functionality:
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1. Code Context Testing:
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- Verify pattern matching works for different glob patterns
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- Test code extraction with various file types and sizes
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- Verify intelligent parsing correctly identifies important code elements
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- Test token optimization by comparing full file extraction vs. optimized extraction
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- Check code formatting in prompts sent to Claude API
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2. Task History Testing:
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- Test with different combinations of task IDs
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- Verify "similar" option correctly identifies relevant tasks
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- Test with non-existent task IDs to ensure proper error handling
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- Verify formatting and integration in prompts
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3. PRD Context Testing:
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- Test with various PRD files of different sizes
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- Verify summarization functions correctly when PRDs are too large
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- Test integration with prompts and formatting
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4. Performance Testing:
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- Measure the impact of context enrichment on command execution time
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- Test with large code bases to ensure reasonable performance
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- Verify token counting and optimization functions work as expected
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5. Quality Assessment:
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- Compare AI outputs with Phase 1 vs. Phase 2 context to measure improvements
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- Create test cases that specifically benefit from code context
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- Create test cases that benefit from task history context
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Focus testing on practical use cases that demonstrate clear improvements in AI-generated outputs.
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# Subtasks:
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## 1. Implement Code Context Extraction Feature [pending]
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### Dependencies: None
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### Description: Create a --context-code <pattern> option for AI commands and implement glob-based file matching to extract relevant code sections
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### Details:
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## 2. Implement Task History Context Integration [pending]
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### Dependencies: None
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### Description: Add a --context-tasks option for AI commands that supports finding and extracting context from specified or similar tasks
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### Details:
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## 3. Add PRD Context Integration [pending]
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### Dependencies: None
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### Description: Implement a --context-prd option for AI commands that extracts and formats content from PRD files
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### Details:
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## 4. Create Standardized Context Formatting System [pending]
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### Dependencies: None
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### Description: Implement a consistent formatting system for different context types with section markers and token optimization
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### Details:
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