Claude Code Routines

Leverage Claude to rapidly generate, debug, and optimize programming code across various languages. This boosts developer productivity by automating coding tasks, enabling faster prototyping, and improving overall code quality.

intermediate15 min5 steps

The play

Generate Initial Code Drafts
Provide Claude with a clear, detailed prompt outlining the desired function, its purpose, parameters, and any specific requirements or constraints. Start by using the 'Copy-Paste Starter' prompt below.
Review and Test Generated Code
Once Claude provides a code snippet (like the Fibonacci example), review it for correctness, adherence to best practices, and functionality. Copy the code into your environment and run tests to verify its behavior and error handling.
Iteratively Refine and Optimize
Send the generated code back to Claude with specific requests for improvement. For instance, prompt Claude with: `Refine the 'calculate_fibonacci' function to use memoization for better performance with large inputs.`
Debug Existing Code
Provide Claude with a problematic code snippet and an error message or description of the issue. Prompt it with: `This Python code is throwing a 'KeyError'. Can you help me debug it? [paste your problematic code here]`
Automate Common Tasks with Routines
Design specific prompt chains for recurring coding tasks like generating unit tests, writing API integration boilerplate, or refactoring legacy code. For example, to generate unit tests, prompt Claude: `Write Pytest unit tests for the following Python function, covering edge cases: [paste your function here]`

Starter code

Write a Python function `calculate_fibonacci(n)` that returns the nth Fibonacci number. Include basic input validation to ensure `n` is a non-negative integer. Then, provide a simple example of how to use it and handle potential errors.

Source

Articlecode.claude.com