Your Step-by-Step Guide

Follow these steps to build your own AI code cleaner from scratch

1

Setup Your Environment

Install Python and essential tools:

Install Python 3.8+
Set up VS Code with Python extension
Create virtual environment


                        python -m venv aienv

                        source aienv/bin/activate

                        pip install torch transformers

2

Collect Training Data

Gather code examples:

Scrape GitHub for code samples
Create "before/after" pairs
Store in structured format (JSON)


                        # Example training pair

                        {

                          "before": "def calc(x,y):...",

                          "after": "def calculate(...",

                          "language": "python"

                        }

3

Fine-tune the Model

Train your AI code cleaner:

Use CodeT5 or GPT-3 base model
Fine-tune with your dataset
Evaluate with test cases


                        from transformers import T5ForConditionalGeneration

                        model = T5ForConditionalGeneration.from_pretrained("Salesforce/codet5-base")

                        # Training loop here...

Additional Resources

Learning Materials

Templates & Tools

Ready to start coding?

Launch Tutorial Notebook