๐ง AI for Code DevelopmentApril 19, 2026โ
Tests passing
AI Code Linter
A Python library and CLI tool that uses Claude Code to analyze code for potential issues, style violations, and bugs. It can integrate into CI/CD pipelines or be used locally to ensure high-quality code standards.
What It Does
- Analyze Python code for issues using Pylint.
- Use OpenAI's GPT models to provide suggestions and improvements for your code.
- Process individual files or entire directories.
- Optional auto-fix functionality (future feature).
Installation
Install the required dependencies:
pip install openai pylintUsage
python ai_code_linter.py --path my_script.py --api-key sk-xxxxxxxxxxxxxxxxxxxxSource Code
import os
import argparse
import openai
import pylint.lint
class AICodeLinter:
def __init__(self, api_key):
self.api_key = api_key
openai.api_key = self.api_key
def lint_code(self, file_path):
"""Run pylint on the given file and return the linting report."""
if not os.path.exists(file_path):
raise FileNotFoundError(f"File or directory not found: {file_path}")
pylint_output = []
try:
pylint_opts = [file_path]
pylint_runner = pylint.lint.Run(pylint_opts, do_exit=False)
pylint_output = [
{
"type": msg.category,
"module": msg.module,
"line": msg.line,
"message": msg.msg
}
for msg in pylint_runner.linter.reporter.messages
]
except Exception as e:
raise RuntimeError(f"Error running pylint: {e}")
return pylint_output
def analyze_with_ai(self, code):
"""Use OpenAI to analyze the code and provide recommendations."""
try:
response = openai.Completion.create(
engine="text-davinci-003",
prompt=f"Analyze the following Python code for issues and suggest improvements:\n\n{code}",
max_tokens=500
)
return response["choices"][0]["text"].strip()
except Exception as e:
raise RuntimeError(f"Error analyzing code with OpenAI: {e}")
def process_path(self, path, fix=False):
"""Process a file or directory for linting and AI analysis."""
if os.path.isdir(path):
files = [os.path.join(path, f) for f in os.listdir(path) if f.endswith('.py')]
elif os.path.isfile(path):
files = [path]
else:
raise FileNotFoundError(f"Invalid path: {path}")
results = {}
for file in files:
with open(file, 'r') as f:
code = f.read()
pylint_report = self.lint_code(file)
ai_analysis = self.analyze_with_ai(code)
results[file] = {
'pylint_report': pylint_report,
'ai_analysis': ai_analysis
}
if fix:
# Placeholder for auto-fix logic
pass
return results
def main():
parser = argparse.ArgumentParser(description="AI Code Linter: Analyze Python code for issues and improvements.")
parser.add_argument('--path', required=True, help="Path to the Python file or directory to lint.")
parser.add_argument('--fix', action='store_true', help="Automatically fix issues where possible.")
parser.add_argument('--api-key', required=True, help="OpenAI API key for AI analysis.")
args = parser.parse_args()
linter = AICodeLinter(api_key=args.api_key)
try:
results = linter.process_path(args.path, fix=args.fix)
for file, report in results.items():
print(f"\nFile: {file}")
print("Pylint Report:")
for issue in report['pylint_report']:
print(f"{issue['type']} - {issue['module']}:{issue['line']} - {issue['message']}")
print("\nAI Analysis:")
print(report['ai_analysis'])
except Exception as e:
print(f"Error: {e}")
if __name__ == "__main__":
main()
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Details
- Tool Name
- ai_code_linter
- Category
- AI for Code Development
- Generated
- April 19, 2026
- Tests
- Passing โ
- Fix Loops
- 2
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/2026-04-19/ai_code_linter cd generated_tools/2026-04-19/ai_code_linter pip install -r requirements.txt 2>/dev/null || true python ai_code_linter.py