Implement AppImage packaging pipeline including desktop file generation, icon bundling, and AppStream metadata. The build script creates a portable Linux executable with automatic desktop integration using linuxdeploy and appimagetool. Key additions include the .desktop launcher file, application icon in multiple resolutions, and AppStream metainfo for software center compatibility. The packaging process compiles the application, bundles all runtime dependencies, and generates a self-contained AppImage binary in the dist/ directory.
The new index on the `user_id` column in the `profiles` table improves query performance when filtering or joining by user identifier, reducing full table scans during authentication and profile retrieval operations.
Implement the mkdir command in the vibe tool to allow users to create directories directly from the command line interface. This addition enables programmatic directory creation without requiring manual shell commands, improving workflow automation and integration capabilities within the vibe ecosystem.
Add core transaction management including begin, commit, and rollback operations
with proper state tracking and error handling for concurrent access patterns.
The commit introduces a new feature to capture and display output from executed processes within the workflow runner. This includes adding a dedicated output buffer that collects stdout and stderr streams during process execution, implementing a display mechanism that shows the output in real-time or upon completion, and updating the relevant data structures to store process output alongside other execution metadata. The change modifies the core execution loop to pipe process output into the new buffer and exposes it through the workflow result interface for downstream consumption.
The profiles table previously lacked an index on the user_id column, causing full table scans during user lookups. This change adds a B-tree index on user_id to optimize query performance for profile retrieval operations.
The implementation now handles all edge cases and passes all test scenarios. Core logic has been refined to ensure consistent behavior across different input conditions. All previously failing test cases now pass successfully.
- Updated Makefile to simplify build targets for both main app and Python extension
- Implemented rpylib.c with chat and reset functions for OpenAI API communication
