Enhance your coding experience in Visual Studio Code with rubberduck-vscode. This AI-powered extension offers code edits, explanations, generation, and error diagnosis using the OpenAI API, making development more efficient and intuitive.
claude install lgrammel/rubberduck-vscodehttps://github.com/rubberduck-ai/rubberduck-vscode
Generate code snippets based on specific user prompts to accelerate development.
Diagnose and suggest fixes for coding errors to streamline debugging efforts.
Provide clear explanations for complex code segments, enhancing understanding and learning.
Facilitate real-time coding assistance through chat, allowing for immediate feedback and support.
claude install lgrammel/rubberduck-vscodegit clone https://github.com/lgrammel/rubberduck-vscodeCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Explain this code snippet in simple terms: [CODE]. I'm working on a [PROJECT] for [COMPANY] in the [INDUSTRY] sector. Focus on the key functionality and any potential pitfalls.
## Code Explanation The provided code snippet is a Python function that processes customer data for a retail company. Here's a breakdown: ### Key Functionality - **Input Handling**: The function accepts a CSV file containing customer purchase history. - **Data Processing**: It calculates total purchases per customer and identifies high-value customers. - **Output**: Generates a report with customer segments (High-Value, Medium-Value, Low-Value). ### Potential Pitfalls - **Data Validation**: The function does not validate the input CSV structure, which could lead to errors if the file format is incorrect. - **Performance**: For large datasets, the function might be slow due to its linear processing approach. - **Error Handling**: There's no error handling for file reading operations, which could crash the program if the file is missing or inaccessible.
Create Beautiful Branded Deliverables. Ship Professionally. Repeat.
Build and deploy AI models through APIs and tools
Orchestrate workloads with multi-cloud support, job scheduling, and integrated service discovery features.
Design, document, and generate code for APIs with interactive tools for developers.
Manage CI/CD processes efficiently with build configuration as code and multi-language support.
Enhance performance monitoring and root cause analysis with real-time distributed tracing.