🔧 AI-powered Coding AssistantsAugust 17, 2026✅ Tests passing

AI Code Summarizer

This tool uses AI-powered coding assistants like ChatGPT and Claude to summarize complex codebases into concise, high-level descriptions. It's useful for developers who want to quickly understand the functionality and architecture of large codebases. The tool can be run as a CLI tool or integrated into IDEs like PyCharm and Eclipse.

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Installation

To install the required packages, run the following command:

pip install transformers torch

Usage

To use the tool, run the following command:

python ai_code_summarizer.py --file path_to_your_code.py

Replace path_to_your_code.py with the path to your Python code file.

Source Code

import argparse
import ast
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer


def summarize_code(code):
    try:
        # Initialize model and tokenizer
        model = AutoModelForSeq2SeqLM.from_pretrained('t5-small')
        tokenizer = AutoTokenizer.from_pretrained('t5-small')

        # Parse code into abstract syntax tree
        tree = ast.parse(code)

        # Convert tree to string
        code_str = ast.unparse(tree)

        # Tokenize code
        inputs = tokenizer(code_str, return_tensors='pt')

        # Generate summary
        outputs = model.generate(inputs['input_ids'], num_beams=4, no_repeat_ngram_size=2, min_length=30, max_length=100, early_stopping=True)

        # Convert summary to string
        summary = tokenizer.decode(outputs[0], skip_special_tokens=True)

        return summary
    except SyntaxError as e:
        return str(e)
    except Exception as e:
        return str(e)

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='AI Code Summarizer')
    parser.add_argument('--file', type=str, help='Path to Python code file')
    args = parser.parse_args()

    if args.file:
        with open(args.file, 'r') as f:
            code = f.read()
            summary = summarize_code(code)
            print(summary)

README

AI Code Summarizer

Installation

To install the required packages, run the following command:

pip install transformers torch

Usage

To use the tool, run the following command:

python ai_code_summarizer.py --file path_to_your_code.py

Replace path_to_your_code.py with the path to your Python code file.

Tests

To run the tests, use the following command:

pytest test_ai_code_summarizer.py

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Details

Tool Name: ai_code_summarizer
Category: AI-powered Coding Assistants
Generated: August 17, 2026
Tests: Passing ✅
Fix Loops: 4

Quick Install

Clone just this tool:

git clone --depth 1 --filter=blob:none --sparse \
  https://github.com/ptulin/autoaiforge.git
cd autoaiforge
git sparse-checkout set generated_tools/2026-08-17/ai_code_summarizer
cd generated_tools/2026-08-17/ai_code_summarizer
pip install -r requirements.txt 2>/dev/null || true
python ai_code_summarizer.py

Links

View source on GitHub Raw README.md