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How to use Claude for debugging

Q: How to use Claude for debugging

Use anthropic.Anthropic SDK with the claude-3-5-sonnet-20241022 model to send your code and error messages as prompts for debugging assistance. Parse the response for explanations or fixes, enabling efficient debugging with Claude.

Quick answer

Use anthropic.Anthropic SDK with the claude-3-5-sonnet-20241022 model to send your code and error messages as prompts for debugging assistance. Parse the response for explanations or fixes, enabling efficient debugging with Claude.

PREREQUISITES

Python 3.8+
Anthropic API key
pip install anthropic>=0.20

Setup

Install the anthropic Python SDK and set your API key as an environment variable for secure access.

bash

pip install anthropic>=0.20

Step by step

Use the following Python code to send a code snippet and error message to Claude for debugging. The model will analyze and suggest fixes or explanations.

python

import os
import anthropic

client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])

system_prompt = "You are a helpful assistant specialized in debugging Python code."

user_message = (
    "I have this Python code that throws an error:\n"
    "def add(a, b):\n    return a + b\n"
    "print(add(2, '3'))\n"
    "The error is: TypeError: unsupported operand type(s) for +: 'int' and 'str'."
    "Please explain the error and suggest a fix."
)

response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=512,
    system=system_prompt,
    messages=[{"role": "user", "content": user_message}]
)

print(response.content[0].text)

output

The error occurs because you are trying to add an integer and a string, which is not allowed in Python. To fix it, convert the string '3' to an integer using int('3') before adding, like this:\n\ndef add(a, b):\n    return a + b\n\nprint(add(2, int('3')))

Common variations

Use async calls with asyncio and client.messages.acreate() for non-blocking debugging.
Adjust max_tokens for longer explanations or code fixes.
Try different Claude models like claude-opus-4 for varied response styles.

python

import asyncio
import os
import anthropic

async def async_debug():
    client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])
    system_prompt = "You are a helpful assistant specialized in debugging Python code."
    user_message = (
        "def divide(a, b):\n    return a / b\n"
        "print(divide(5, 0))\n"
        "The error is: ZeroDivisionError: division by zero."
        "Explain and fix."
    )
    response = await client.messages.acreate(
        model="claude-opus-4",
        max_tokens=512,
        system=system_prompt,
        messages=[{"role": "user", "content": user_message}]
    )
    print(response.content[0].text)

asyncio.run(async_debug())

output

The error occurs because division by zero is undefined in Python. To fix it, add a check to avoid dividing by zero:\n\ndef divide(a, b):\n    if b == 0:\n        return "Error: Cannot divide by zero."
    return a / b\n\nprint(divide(5, 0))

Troubleshooting

If you get authentication errors, verify your ANTHROPIC_API_KEY environment variable is set correctly.
If responses are incomplete, increase max_tokens.
For rate limits, implement retry logic with exponential backoff.

✅

Key Takeaways

Use the anthropic SDK with claude-3-5-sonnet-20241022 for effective debugging prompts.
Send clear code snippets and error messages in the user prompt for precise debugging help.
Leverage async calls and model variations for flexible integration in your development workflow.

Verified 2026-04 · claude-3-5-sonnet-20241022, claude-opus-4

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