๐ง AI Coding AgentsJuly 5, 2026โ
Tests passing
AI Code Snippet Optimizer
This library allows developers to pass small Python code snippets to an AI agent for optimization. The AI can improve efficiency, simplify logic, or suggest alternative approaches for better performance. Ideal for developers seeking to fine-tune critical code paths.
What It Does
- Optimize Python code snippets for performance, readability, and maintainability.
- Receive detailed explanations for the changes made by the AI.
- Easy-to-use command-line interface.
Installation
1. Clone this repository.
2. Install the required dependencies:
pip install openai rich pytest3. Set the OPENAI_API_KEY environment variable with your OpenAI API key.
Usage
Run the tool from the command line with the Python code snippet you want to optimize:
python ai_code_snippet_optimizer.py "def example_function():\n pass"Example output:
[bold green]Optimized Code:[/bold green]
def optimized_function():
pass
[bold blue]Explanation:[/bold blue]
Simplified the function for better readability.Source Code
import openai
from rich import print
import os
def optimize_code(code_snippet: str) -> dict:
"""
Optimizes a Python code snippet using OpenAI's API.
Args:
code_snippet (str): The Python code snippet to optimize.
Returns:
dict: A dictionary containing the optimized code and an explanation of the changes.
"""
if not code_snippet.strip():
raise ValueError("The code snippet cannot be empty.")
openai_api_key = os.getenv("OPENAI_API_KEY")
if not openai_api_key:
raise EnvironmentError("OPENAI_API_KEY environment variable is not set.")
openai.api_key = openai_api_key
try:
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[
{
"role": "system",
"content": "You are an expert Python developer. Your task is to optimize Python code snippets for performance, readability, and maintainability. Provide detailed explanations for any changes you make."
},
{
"role": "user",
"content": f"Optimize the following Python code snippet:\n{code_snippet}"
}
],
temperature=0
)
ai_response = response['choices'][0]['message']['content']
parts = ai_response.split("Explanation:", 1)
if len(parts) != 2:
raise ValueError("Unexpected response format from AI.")
optimized_code = parts[0].strip()
explanation = parts[1].strip()
return {
"optimized_code": optimized_code,
"explanation": explanation
}
except openai.error.OpenAIError as e:
raise RuntimeError(f"An error occurred while communicating with the OpenAI API: {e}")
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="AI Code Snippet Optimizer")
parser.add_argument("code_snippet", type=str, help="The Python code snippet to optimize.")
args = parser.parse_args()
try:
result = optimize_code(args.code_snippet)
print("[bold green]Optimized Code:[/bold green]")
print(result["optimized_code"])
print("\n[bold blue]Explanation:[/bold blue]")
print(result["explanation"])
except Exception as e:
print(f"[bold red]Error:[/bold red] {e}")Community
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Details
- Tool Name
- ai_code_snippet_optimizer
- Category
- AI Coding Agents
- Generated
- July 5, 2026
- Tests
- Passing โ
- 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/2026-07-05/ai_code_snippet_optimizer cd generated_tools/2026-07-05/ai_code_snippet_optimizer pip install -r requirements.txt 2>/dev/null || true python ai_code_snippet_optimizer.py