- Updated README to specify CLI runtime capabilities for headless environments.
- Introduced a comprehensive implementation plan for the diff view feature, detailing phases, required packages, types, IPC channels, backend services, and UI components.
- Added new documentation on competitors in AI orchestration platforms and research on local image storage and markdown rendering pipeline.
- Included a workflow editor research document to evaluate visual libraries for node-based workflow orchestration.
- Introduced a new `statusHistory` feature to record every status transition of tasks, including the previous status, new status, timestamp, and actor responsible for the change.
- Updated task creation and status update methods to append transitions to the status history, ensuring a comprehensive audit trail.
- Enhanced UI components to display the status history, providing better visibility into task progress and changes over time.
- Refactored related services to support the new status history functionality, improving overall task management practices.
- Added validation to prevent the use of reserved names ("user" and "team-lead") for team members, ensuring clearer error messages during member addition.
- Updated IPC handlers to improve logging functionality, enhancing observability of team-related actions.
- Implemented normalization of file paths across various services to ensure consistent handling on different platforms.
- Enhanced UI components to provide better feedback on team member statuses and actions.
Made-with: Cursor
- Added support for a new worker in the team file system to list teams, improving performance and reliability in team management.
- Introduced event loop lag monitoring in various IPC handlers to track and log slow operations, enhancing observability.
- Implemented caching for CLI installation status to reduce redundant calls and improve responsiveness.
- Updated project and team data services to include total session counts, optimizing data handling and performance.
- Enhanced error handling and logging across multiple services to provide clearer insights into performance issues and failures.
Made-with: Cursor
