All Toolsโ€บAI Code Review
๐Ÿ”ง AI-Powered Code GenerationMay 18, 2026โœ… Tests passing

AI Code Review

A Python CLI tool that analyzes code files or snippets for potential bugs, optimization opportunities, and adherence to best practices. It leverages AI models to provide actionable feedback and explanations, making it a valuable companion for code quality improvement.

What It Does

  • Analyze Python code for bugs and potential issues.
  • Suggest optimizations and best practices.
  • Provide actionable feedback with explanations.
  • Supports both file-based and inline code snippet analysis.

Installation

1. Clone the repository:

git clone https://github.com/your-repo/ai_code_review.git
   cd ai_code_review

2. Install dependencies:

pip install -r requirements.txt

Usage

Analyzing code...

Analysis Feedback:
========================================
- The print statement is used for debugging purposes. Consider using logging instead.
- The code is simple and does not contain any apparent bugs.

Source Code

import argparse
import openai
from pygments import highlight
from pygments.lexers import PythonLexer
from pygments.formatters import TerminalFormatter
import os

def analyze_code(api_key, code):
    """
    Analyze the provided code using OpenAI's API.

    Args:
        api_key (str): OpenAI API key.
        code (str): Code snippet to analyze.

    Returns:
        str: AI-generated feedback on the code.
    """
    openai.api_key = api_key
    try:
        response = openai.Completion.create(
            engine="text-davinci-003",
            prompt=f"Analyze the following Python code for bugs, optimizations, and adherence to best practices:\n\n{code}\n\nProvide actionable feedback with explanations:",
            max_tokens=500
        )
        return response.choices[0].text.strip()
    except Exception as e:
        return f"Error during analysis: {str(e)}"

def read_code_from_file(file_path):
    """
    Read code from a given file.

    Args:
        file_path (str): Path to the code file.

    Returns:
        str: Content of the file.
    """
    if not os.path.exists(file_path):
        raise FileNotFoundError(f"The file '{file_path}' does not exist.")

    with open(file_path, 'r') as file:
        return file.read()

def main():
    parser = argparse.ArgumentParser(
        description="AI Code Review: Analyze Python code for bugs, optimizations, and best practices."
    )
    parser.add_argument('--file', type=str, help="Path to the Python file to analyze.")
    parser.add_argument('--code', type=str, help="Python code snippet to analyze.")
    parser.add_argument('--api-key', type=str, required=True, help="Your OpenAI API key.")

    args = parser.parse_args()

    if not args.file and not args.code:
        print("Error: You must provide either a file path (--file) or a code snippet (--code).")
        return

    if args.file:
        try:
            code = read_code_from_file(args.file)
        except FileNotFoundError as e:
            print(e)
            return
    else:
        code = args.code

    print("Analyzing code...")
    feedback = analyze_code(args.api_key, code)

    print("\nAnalysis Feedback:")
    print("=" * 40)
    print(highlight(feedback, PythonLexer(), TerminalFormatter()))

if __name__ == "__main__":
    main()

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Details

Tool Name
ai_code_review
Category
AI-Powered Code Generation
Generated
May 18, 2026
Tests
Passing โœ…

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/2026-05-18/ai_code_review
cd generated_tools/2026-05-18/ai_code_review
pip install -r requirements.txt 2>/dev/null || true
python ai_code_review.py
AI Code Review โ€” AI Tools by AutoAIForge