[WIP] Update Copilot instructions for coding agents#2
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…MiscDetailsScreen
… navigation, and streamline home screen layout - Removed AppBar from DeviceMiscScreen. - Simplified navigation logic in DeviceScreen by removing PopScope. - Eliminated unused device filter and cloud sync placeholder from HomeScreen. - Cleaned up formatting and spacing in VNCScreen for better readability.
…, shutdown, edit, duplicate, and delete
…acking - Removed SSH client initialization and performance data collection logic from DeviceMiscScreen. - Simplified the UI by navigating to DeviceDetailsScreen for detailed device information. - Cleaned up unused imports and performance data structures. - Updated home screen to ensure proper navigation to DeviceScreen with initial tab set to Misc.
…rocess monitoring
- Added color coding for CPU and MEM values in ProcessInfoChip based on usage thresholds. - Improved layout and design of ProcessDetailSheet with summary cards for PID, USER, CPU, and MEM. - Implemented signal sending functionality with confirmation dialogs for SIGTERM, SIGKILL, SIGSTOP, and SIGCONT. - Introduced auto-refresh feature for process list with toggle functionality. - Added filtering and sorting options for process display. - Enhanced error handling and user feedback for process actions. - Updated UI components for better user experience and accessibility.
- Removed the DeviceStatus class from home_screen.dart and replaced it with enhanced_device_card.dart and device_summary_card.dart for better separation of concerns. - Introduced EnhancedDeviceCard for displaying device information with improved UI and interaction handling. - Added DeviceSummaryCard for a detailed view of device status and system information. - Implemented EnhancedMiscCard for displaying miscellaneous information with hover effects and tooltips. - Updated home_screen.dart to utilize the new card components, improving readability and maintainability. - Enhanced the user experience with better visual feedback and interaction options in the device list.
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.github/copilot-instructions.mdwith comprehensive guidanceOriginal prompt
implement this.
[Chronological Review: The conversation began with the user requesting an analysis of the codebase to generate or update the `.github/copilot-instructions.md` file. The user specified the need to focus on the architecture, developer workflows, project-specific conventions, and integration points. The user then provided context by sharing the contents of the `pubspec.lock` file, particularly highlighting the `leak_tracker` dependency. The user subsequently requested the implementation of the instructions based on the analysis.][Intent Mapping: The user explicitly requested to analyze the codebase to create or update the
.github/copilot-instructions.mdfile. They aimed to provide guidance for AI coding agents to be productive in the codebase, focusing on architecture, workflows, conventions, and integration points.][Technical Inventory: The conversation mentioned the
pubspec.lockfile, which is crucial for managing dependencies in a Dart/Flutter project. Theleak_trackerpackage was highlighted as a transitive dependency, indicating its importance in the project.][Code Archaeology: The user provided a snippet from the
pubspec.lockfile, specifically detailing theleak_trackerdependency. However, no specific code files or functions were discussed in detail.][Progress Assessment: The user has not yet received the updated
.github/copilot-instructions.mdfile. The analysis phase is complete, and the next step is to implement the instructions.][Context Validation: The user’s request for actionable instructions for AI agents is clear, and the context provided through the
pubspec.lockfile is relevant for understanding dependencies.][Recent Commands Analysis: The last agent command involved analyzing the codebase to generate or update
.github/copilot-instructions.md. The tool results included a focus on architecture, workflows, conventions, and integration points. The agent was actively working on generating these instructions when the token budget was exceeded.]1. Conversation Overview: - Primary Objectives: The user requested to "analyze this codebase to generate or update `.github/copilot-instructions.md` for guiding AI coding agents," focusing on architecture, workflows, conventions, and integration points. - Session Context: The conversation flowed from the initial request for analysis to providing context through the `pubspec.lock` file, specifically mentioning the `leak_tracker` dependency. - User Intent Evolution: The user's needs remained consistent, focusing on creating actionable instructions for AI agents based on the codebase analysis.- Technical Foundation:
- Dart/Flutter: The project is built using Dart, with dependencies managed through the
- Codebase Status:
- Purpose: Manages project dependencies.
- Current State: Contains details about the
- Key Code Segments: The entry for
- Dependencies: Indicates the project's reliance on external packages.
- Problem Resolution:
- Issues Encountered: No specific technical problems were reported.
- Solutions Implemented: The user is seeking to implement guidance for AI agents.
- Debugging Context: No ongoing troubleshooting efforts were mentioned.
- Lessons Learned: The importance of documenting specific patterns and workflows for AI agents.
- Progress Tracking:
- Completed Tasks: The analysis of the codebase has been initiated.
- Partially Complete Work: The
- Validated Outcomes: No features or code have been confirmed working through testing yet.
- Active Work State:
- Current Focus: The agent was focused on generating instructions for AI agents based on the codebase analysis.
- Recent Context: The user provided context through the
- Working Code: The specific code being discussed was related to the
- Immediate Context: The user was looking to implement the instructions for AI agents based on the analysis.
- Recent Operations:
- Last Agent Commands: The command to analyze the codebase and generate/update
- Tool Results Summary: The analysis focused on architecture, workflows, conventions, and integration points for AI agents.
- Pre-Summary State: The agent was actively working on generating the instructions when the token budget was exceeded.
- Operation Context: The commands were executed to fulfill the user's goal of providing guidance for AI coding agents.
- Continuation Plan:
- [Pending Task 1]: Update the
- [Pending Task 2]: Ensure the instructions reflect the specific pa...
pubspec.lockfile.leak_tracker: A transitive dependency noted in thepubspec.lock, version "11.0.2".pubspec.lock:leak_trackerdependency.leak_trackerindicates it is hosted and transitive..github/copilot-instructions.mdfile has not yet been updated.pubspec.lockfile and requested the implementation of the instructions.pubspec.lockfile..github/copilot-instructions.md..github/copilot-instructions.mdfile with actionable instructions for AI agents.💬 Share your feedback on Copilot coding agent for the chance to win a $200 gift card! Click here to start the survey.