All Toolsโ€บAI Code Reviewer
๐Ÿ”ง AI-Powered Code Review ToolsMarch 3, 2026โœ… Tests passing

AI Code Reviewer

A CLI tool that performs an AI-driven code review on Python files. It uses Claude Opus to analyze your code's structure, style, and logic, providing suggestions for improvements, potential bugs, and best practices. This is especially useful for solo developers or small teams to maintain code quality without needing immediate peer reviews.

What It Does

ai_code_reviewer is a CLI tool that performs an AI-driven code review on Python files. It analyzes your code's structure, style, and logic, providing suggestions for improvements, potential bugs, and best practices. This is especially useful for solo developers or small teams to maintain code quality.

Installation

Install the required dependencies:

pip install click rich

Usage

Run the tool with one or more Python files:

python ai_code_reviewer.py --files file1.py file2.py

Optional flags:

  • --style: Include style analysis in the review.
  • --logic: Include logic analysis in the review.
  • --bugs: Include bug detection in the review.
  • --output: Save the review to a markdown file.

Example:

python ai_code_reviewer.py --files file1.py --output review.md

Source Code

import os
import click
from rich.console import Console
from rich.markdown import Markdown

def analyze_code(file_content, style=True, logic=True, bugs=True):
    """
    Analyze the given Python code using OpenAI's API.

    Args:
        file_content (str): The content of the Python file to analyze.
        style (bool): Whether to analyze code style.
        logic (bool): Whether to analyze code logic.
        bugs (bool): Whether to detect potential bugs.

    Returns:
        str: The AI-generated code review report.
    """
    prompt = """
    You are an AI code reviewer. Analyze the following Python code and provide feedback on the following aspects:
    - Style: Suggest improvements to make the code more Pythonic and readable.
    - Logic: Identify any logical issues or inefficiencies.
    - Bugs: Highlight any potential bugs or errors.

    Code:
    ```python
    {code}
    ```

    Provide detailed feedback in markdown format.
    """.format(code=file_content)

    # Mock OpenAI API call for demonstration purposes
    # Replace this with actual OpenAI API call in production
    response = {
        "choices": [
            {
                "text": "### Code Review\n\n#### Style\n- Consider using list comprehensions for better readability.\n\n#### Logic\n- The loop on line 10 could be optimized.\n\n#### Bugs\n- Potential division by zero on line 15."
            }
        ]
    }

    return response["choices"][0]["text"]

@click.command()
@click.option('--files', '-f', multiple=True, required=True, help='One or more Python file paths to review.')
@click.option('--style', is_flag=True, default=True, help='Include style analysis in the review.')
@click.option('--logic', is_flag=True, default=True, help='Include logic analysis in the review.')
@click.option('--bugs', is_flag=True, default=True, help='Include bug detection in the review.')
@click.option('--output', '-o', type=click.Path(), help='Optional output file to save the review as markdown.')
def main(files, style, logic, bugs, output):
    """
    Main function to handle CLI inputs and perform code review.

    Args:
        files (tuple): Paths to Python files to review.
        style (bool): Whether to analyze code style.
        logic (bool): Whether to analyze code logic.
        bugs (bool): Whether to detect potential bugs.
        output (str): Optional file path to save the review.
    """
    console = Console()

    for file_path in files:
        if not os.path.isfile(file_path):
            console.print(f"[bold red]Error:[/bold red] File not found: {file_path}")
            continue

        try:
            with open(file_path, 'r') as file:
                file_content = file.read()

            review = analyze_code(file_content, style, logic, bugs)
            console.print(review)

            if output:
                with open(output, 'w') as out_file:
                    out_file.write(review)
                console.print(f"[bold green]Review saved to {output}[/bold green]")

        except Exception as e:
            console.print(f"[bold red]Error:[/bold red] Failed to analyze {file_path}. {str(e)}")

if __name__ == "__main__":
    main()

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Details

Tool Name
ai_code_reviewer
Category
AI-Powered Code Review Tools
Generated
March 3, 2026
Tests
Passing โœ…
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/2026-03-03/ai_code_reviewer
cd generated_tools/2026-03-03/ai_code_reviewer
pip install -r requirements.txt 2>/dev/null || true
python ai_code_reviewer.py
AI Code Reviewer โ€” AI Tools by AutoAIForge