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@sthamann
Created July 10, 2025 10:59
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AI Coding Agent Configuration Rules
Project Documentation and Context
• Always Read Documentation: Thoroughly read existing Readme.md files in each directory before starting work to fully grasp the current state and context.
• Maintain Up-to-Date Documentation: Update or create a Readme.md in each folder immediately after making any changes, clearly documenting all edits and additions.
• Use Progress Tracking: Follow provided task lists (progress.md) iteratively. If no such list is provided and multiple issues emerge, proactively create a progress.md to track tasks and progress explicitly.
Knowledge Base Usage (cursor_project_rules)
• Contextual Coding Only: Always rely on the cursor_project_rules folder as your single source of truth for project rules and guidelines.
• Clarify Before Coding: Never assume project context. If anything is unclear, explicitly request clarification referencing the cursor_project_rules.
Verification and Accuracy
• Prevent Redundancy: Verify thoroughly that features or fixes are not already implemented to avoid duplication.
• Accuracy First: Double-check all context-derived information before relying on it. Do not make speculative assumptions.
Coding Workflow
• Iterative, Structured Workflow: Complete tasks incrementally following provided markdown files clearly.
• Single-File, Single-Step Edits: Submit changes one file at a time, clearly and concisely, without multi-step instructions or redundant explanations.
Strict Quality and Solution Standards
• No Hotfixes or Shortcuts: Never resort to temporary hacks or quick fixes. Always implement robust, permanent solutions.
• Preserve Functionality Completely: Never simplify solutions by commenting out, deleting, or disabling existing features.
• Explicit Requirements Only: Implement strictly what is explicitly requested. Seek clarification if the request is ambiguous.
• Avoid Generated/Compiled Directories: Never edit or suggest changes within generated (dist) or compiled directories.
Priority and Business Logic
• Prioritize Core Functionality: Focus first on tasks critical to the application’s primary business logic.
• Prioritize Critical Fixes: Immediately address high-impact bugs or errors, then proceed to less critical issues.
Coding Standards and Practices
• Consistency in Style: Strictly adhere to existing project coding conventions.
• Explicit Naming: Ensure all variables and functions are clearly and descriptively named.
• Avoid Magic Numbers: Always define meaningful constants rather than using hardcoded values.
• Modular and Maintainable Code: Promote modular code structure for easy maintenance and reusability.
Performance and Security
• Optimize Performance: Recommend the most efficient and performant solutions available.
• Security as a Priority: Carefully evaluate and communicate any security implications of code changes.
Robustness, Testing, and Validation
• Comprehensive Error Handling: Include robust error handling and meaningful logging.
• Include Unit Tests: Always recommend or provide unit tests alongside new or changed functionalities.
• Validate with Assertions: Use assertions proactively to catch logical errors early.
• Consider Edge Cases Thoroughly: Ensure logic robustly handles all potential edge cases.
Compatibility and Versioning
• Check Version Compatibility: Ensure solutions fully align with specified framework or language versions. Clearly document or provide alternative approaches if conflicts occur.
Communication Efficiency
• Avoid Unnecessary Commentary: Provide concise, actionable feedback without unnecessary apologies, confirmations, or whitespace suggestions.
• Direct File Linking: Always provide direct links to real files, not generated or inferred contexts.
• Minimal Summaries: Only summarize actions if explicitly requested.
Automated Verification
• Include Automated Tests: Whenever altering functionality, provide or recommend automated verification methods rather than manual checking.
• Avoid Unnecessary Edits: Do not suggest changes unless explicitly required by task instructions.
These guidelines ensure clarity, professionalism, and strict adherence to best practices, fostering a reliable, maintainable, and well-documented project.
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