code-debugging-and-fixing

Code Debugging and Error Correction

Coding LLMs assist developers in identifying and resolving syntax errors, logic bugs, and runtime exceptions in their code. By analyzing error messages, stack traces, and code context, these models provide actionable insights and suggestions for debugging code effectively.

Code Debugging and Error Correction Workflow

This workflow can analyze existing codebases to identify opportunities for refactoring, such as removing code duplication, improving variable names, or restructuring code for better clarity.

Model used

This workflow uses the deepseek-coder-33b-instruct Model with defined prompt template optimized for debugging code.

How to use the Code Debugging workflow? 

Using Clarifai SDK

Export your PAT as an environment variable. Then, import and initialize the API Client.

Find your PAT in your security settings.

export CLARIFAI_PAT={your personal access token}

Prediction with the workflow

from clarifai.client.workflow import Workflow

workflow_url = 'https://clarifai.com/{{user_id}}/coding-template/workflows/code-debugging-and-fixing'

text = '
void swap(int a, int b) {

int temp;

a = temp;

temp = b;

b = a;

}'

prediction = Workflow(workflow_url).predict_by_bytes( text.encode(), input_type="text")

# Get workflow results
print(prediction.results[0].outputs[-1].data.text.raw)

Using Workflow

To utilize the Code Completion workflow, you can input your code snippet through the Blue Plus Try your own Input button and it will output suggestions for debugging code.