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* memory * feat: add smart memory selection with task context - Add taskContext parameter to loadContextFiles for intelligent file selection - Memory files are scored based on tag matching with task keywords - Category name matching (e.g., "terminals" matches terminals.md) with 4x weight - Usage statistics influence scoring (files that helped before rank higher) - Limit to top 5 files + always include gotchas.md - Auto-mode passes feature title/description as context - Chat sessions pass user message as context This prevents loading 40+ memory files and killing context limits. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * refactor: enhance auto-mode service and context loader - Improved context loading by adding task context for better memory selection. - Updated JSON parsing logic to handle various formats and ensure robust error handling. - Introduced file locking mechanisms to prevent race conditions during memory file updates. - Enhanced metadata handling in memory files, including validation and sanitization. - Refactored scoring logic for context files to improve selection accuracy based on task relevance. These changes optimize memory file management and enhance the overall performance of the auto-mode service. * refactor: enhance learning extraction and formatting in auto-mode service - Improved the learning extraction process by refining the user prompt to focus on meaningful insights and structured JSON output. - Updated the LearningEntry interface to include additional context fields for better documentation of decisions and patterns. - Enhanced the formatLearning function to adopt an Architecture Decision Record (ADR) style, providing richer context for recorded learnings. - Added detailed logging for better traceability during the learning extraction and appending processes. These changes aim to improve the quality and clarity of learnings captured during the auto-mode service's operation. * feat: integrate stripProviderPrefix utility for model ID handling - Added stripProviderPrefix utility to various routes to ensure providers receive bare model IDs. - Updated model references in executeQuery calls across multiple files, enhancing consistency in model ID handling. - Introduced memoryExtractionModel in settings for improved learning extraction tasks. These changes streamline the model ID processing and enhance the overall functionality of the provider interactions. * feat: enhance error handling and server offline management in board actions - Improved error handling in the handleRunFeature and handleStartImplementation functions to throw errors for better caller management. - Integrated connection error detection and server offline handling, redirecting users to the login page when the server is unreachable. - Updated follow-up feature logic to include rollback mechanisms and improved user feedback for error scenarios. These changes enhance the robustness of the board actions by ensuring proper error management and user experience during server connectivity issues. --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> Co-authored-by: webdevcody <webdevcody@gmail.com>