- Introduced a new schema version (v2) with a global_relationships table.
- Implemented CRUD operations for file relationships, including update and delete functionalities.
- Added query capabilities for relationships by target and symbols.
- Created migration logic from v1 to v2 schema.
- Enhanced tests for global relationships, covering various scenarios including insertion, querying, and deletion.
docs: Add update-single command for generating module documentation
- Created a new command to generate manual-style documentation (CLAUDE.md) for a single module.
- Detailed execution process and implementation phases for the command.
- Included usage examples and error handling guidelines.
feat: Implement team command for CLI interface
- Added a new team command for logging and retrieving messages in a team message bus.
- Supported subcommands for logging, reading, listing, and checking status of messages.
- Included error handling and JSON output options.
test: Add comprehensive tests for global relationships
- Developed extensive tests for the global_relationships table in GlobalSymbolIndex.
- Covered schema creation, migration, CRUD operations, and performance benchmarks.
- Ensured project isolation and validated query functionalities for relationships.
- analyze-with-file: Add dynamic direction generation from dimensions, support up to 4 parallel agent perspectives, enable cli-explore-agent parallelization
- brainstorm-with-file: Add dynamic direction generation from dimensions, add Agent-First guideline for complex tasks
- collaborative-plan-with-file: Add Understanding phase guidelines to prioritize latest documentation and resolve ambiguities with user clarification
Key improvements:
- Dimension-Direction Mapping replaces hard-coded options, enabling task-aware direction recommendations
- Multi-perspective parallel exploration (Analysis Perspectives, up to 4) with synthesis
- cli-explore-agent supports parallel execution per perspective for richer codebase context
- Agent-First principle: delegate complex tasks (code analysis, implementation) to agents/CLI instead of main process analysis
- Understanding phase emphasizes latest documentation discovery and clarification of ambiguities before planning
- Implemented a utility function `detectJsonInLine` to identify and parse JSON data from different formats including direct JSON, tool calls, tool results, embedded JSON, and code blocks.
- Introduced `JsonDetectionResult` interface to standardize the detection results.
- Added a new test results file to track the status of tests.
- Created error context snapshots for Firefox, WebKit, and Chromium to capture UI state during API error monitoring.
- Implemented e2e tests for API error detection, including console errors, failed API requests, and proxy errors.
- Added functionality to ignore specific API patterns in monitoring assertions.
- Ensured tests validate the monitoring system's ability to detect and report errors effectively.