AI Research Directory
This directory contains research, analysis, and strategic insights generated by AI assistants during the development and improvement of Teams for Linux.
Research Context
These documents capture AI-generated analysis and strategic insights that inform development decisions and provide context for major features.
Contents
- Documentation Health Analysis - Comprehensive assessment of documentation structure, quality, and maintainability
- UI System Strategic Analysis - Strategic evaluation of the in-app UI system proposal and its alignment with project goals
Purpose
These documents capture:
- Strategic insights that inform development decisions
- Comprehensive analysis that might not fit in traditional documentation
- AI-generated research that provides objective evaluation of project components
- Context and rationale for major feature decisions
Target Audience
These research documents are intended for:
- Project maintainers making strategic decisions
- Contributors understanding the broader context of features
- Future AI assistants needing historical context
- Documentation of the decision-making process for major features
Maintenance Guidelines
Research documents should be:
- Updated when significant changes affect the analysis
- Referenced in PRDs and major feature discussions
- Used to inform future project direction decisions
- Preserved as historical context even when superseded
Documentation Lifecycle
While technical documentation should be kept current, research documents serve as historical records and may represent analysis from specific points in time.
Contributing Research
When adding new research documents:
- Follow naming convention: Use descriptive, hyphenated filenames
- Include context: Date and scope of analysis
- Link related documents: Cross-reference relevant files
- Update this index: Add entries for new research documents
Related Documentation
- Configuration Options - Application configuration reference
- IPC API - Developer integration documentation