- Set CI=true for native build to ensure correct environment in CI runs
- Add chmod step to guarantee executable permissions on built binary
- Use ditto instead of zip to archive app bundle, preserving permissions and signatures
- Add Claudia logo to release body
- Add first release announcement and feature highlights
- Clean up test branch references in build workflows
- Update release body formatting for better presentation
- Fix reusable workflow errors by adding workflow_call triggers to build workflows
- Update package.json dependencies
- Bump package version for consistency
- Update Cargo dependencies
- Add new dependencies required for enhanced functionality
- Update Cargo.lock with resolved versions
- Update tauri.conf.json with new build configurations
- Add platform-specific settings
- Configure bundle options for different targets
- Update .gitignore patterns
- Add new build artifacts to ignore list
- Minor fix in claude.rs command implementation
- Add scripts/bump-version.sh for coordinated version updates
- Updates version in package.json, Cargo.toml, tauri.conf.json, and Info.plist
- Ensures version consistency across all project files
- Provides clear instructions for tagging and releasing
- Add Info.plist for macOS app metadata
- Configure bundle identifier as claudia.asterisk.so
- Set minimum macOS version to 10.15
- Register .claudia.json file type association
- Add usage descriptions for camera and microphone access
- Add entitlements.plist for macOS app permissions
- Disable app sandbox for Homebrew compatibility
- Enable network access for API communications
- Allow file system access and subprocess spawning
- Configure hardened runtime exceptions for JIT and library validation
- Enable automation for Apple Events
- Add .cargo/config.toml for cross-compilation
- Configure aarch64-unknown-linux-gnu target
- Enable PKG_CONFIG_ALLOW_CROSS for cross-platform builds
- Add build-linux.yml for Ubuntu/Linux x86_64 builds
- Installs required system dependencies (webkit2gtk, GTK3, etc.)
- Builds Tauri application for Linux platform
- Uploads build artifacts for distribution
- Add build-macos.yml for macOS Intel and Apple Silicon builds
- Supports both x86_64 and aarch64 architectures
- Handles Apple certificate import and code signing
- Creates notarized DMG installers
- Includes Homebrew cask generation
- Allows skipping builds and using previous artifacts
- Add release.yml for automated releases
- Triggers on version tags (v*)
- Orchestrates builds across all platforms
- Creates GitHub releases with all artifacts
- Supports manual workflow dispatch with version input
- Initialize analytics service on app startup in main.tsx
- Integrate analytics consent management in App.tsx
- Track app lifecycle events (start, screen changes)
- Update Tauri configuration for production build
- Set up proper analytics shutdown on app close
- Ensure analytics is initialized before other services
This completes the analytics integration setup with proper
initialization and lifecycle management.
- Track MCP server additions with configuration method (manual/preset/import)
- Monitor server connections and disconnections with success metrics
- Record server removal events with connection state
- Track MCP tool invocations with source attribution
- Monitor connection errors with retry attempts
- Add performance tracking for server operations
These metrics help understand MCP server usage patterns and
identify connection reliability issues.
- Track prompt submissions with detailed metrics (length, complexity, attachments)
- Monitor session lifecycle (start, stop, duration, engagement)
- Record tool executions with performance and success metrics
- Track checkpoint creation and restoration events
- Implement enhanced session metrics including:
- Time to first message
- Average response time
- Files created/modified/deleted count
- Error frequency and recovery attempts
- Token usage and code generation metrics
- Add session engagement scoring
- Monitor conversation abandonment patterns
- Track agent execution context when applicable
This provides deep insights into user interactions and session
quality for improving the AI coding experience.
- Create AnalyticsErrorBoundary component to catch and track UI errors
- Implement automatic error reporting to analytics on component failures
- Provide customizable fallback UI for error states
- Add withAnalyticsErrorBoundary HOC for easy component wrapping
- Include error recovery functionality with reset capability
- Track component stack information for debugging
This ensures all UI errors are captured and reported for better
application stability monitoring and debugging.
- Add ResourceMonitor for tracking system resource usage (memory, CPU, network)
- Implement API request tracking with performance metrics and error monitoring
- Create usePerformanceMonitor hook for component-level performance tracking
- Add useAsyncPerformanceTracker for async operation monitoring
- Track memory warnings, performance bottlenecks, and network failures
- Support configurable thresholds for resource usage alerts
- Implement periodic sampling with intelligent reporting
These utilities enable proactive performance monitoring to identify
and address bottlenecks before they impact user experience.
