๐ง AI-Powered Code GenerationMay 18, 2026โ
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_review2. Install dependencies:
pip install -r requirements.txtUsage
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()Community
Downloads
ยทยทยท
Rate this tool
No ratings yet โ be the first!
Details
- Tool Name
- ai_code_review
- Category
- AI-Powered Code Generation
- Generated
- May 18, 2026
- Tests
- Passing โ
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