AI Code Completion Tool
This tool uses AI models to generate code completions for partially written code. It's useful for developers who want to speed up their coding process and reduce errors. The tool can be integrated into existing development environments and can be trained on a user's own codebase to improve its accuracy.
Installation
To install the tool, run the following command:
pip install torch transformersUsage
To use the tool, run the following command:
python ai_code_completion.py --input input.py --output output.pyReplace input.py with the file containing the partially written code and output.py with the desired output file.
Source Code
import argparse
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
def complete_code(input_code, model_name='codebert-base'):
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
if not input_code:
return ''
inputs = tokenizer(input_code, return_tensors='pt')
outputs = model.generate(**inputs, max_length=512)
completed_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
return completed_code
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='AI Code Completion Tool')
parser.add_argument('--input', type=str, help='Input code file or string')
parser.add_argument('--output', type=str, help='Output completed code file or string')
args = parser.parse_args()
if args.input and args.output:
with open(args.input, 'r') as f:
input_code = f.read()
completed_code = complete_code(input_code)
with open(args.output, 'w') as f:
f.write(completed_code)
else:
parser.print_help()README
AI Code Completion Tool
This tool uses AI models to generate code completions for partially written code.
Installation
To install the tool, run the following command:
pip install torch transformersUsage
To use the tool, run the following command:
python ai_code_completion.py --input input.py --output output.pyReplace input.py with the file containing the partially written code and output.py with the desired output file.
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Details
- Tool Name
- ai_code_completion
- Category
- AI-Powered Coding
- Generated
- August 13, 2026
- Tests
- Passing ✅
- Fix Loops
- 3
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/2026-08-13/ai_code_completion cd generated_tools/2026-08-13/ai_code_completion pip install -r requirements.txt 2>/dev/null || true python ai_code_completion.py