AAutomated Code Correction

Automated Code Correction

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Automated Code Correction is a Python-based command-line utility that integrates with OpenAI’s GPT API to detect compilation or runtime errors in your code, generate accurate fixes, and apply patches automatically. It streamlines debugging by providing fast, context-aware corrections for multiple programming languages directly from your terminal.
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May 03 2025
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Automated Code Correction
AAutomated Code Correction

Automated Code Correction

1
0
Automated Code Correction
Automated Code Correction is a Python-based command-line utility that integrates with OpenAI’s GPT API to detect compilation or runtime errors in your code, generate accurate fixes, and apply patches automatically. It streamlines debugging by providing fast, context-aware corrections for multiple programming languages directly from your terminal.
Added on:
Social & Email:
Platform:
May 03 2025
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What is Automated Code Correction?

Automated Code Correction is an open‐source Python script that uses GPT to scan your project’s build or execution error logs, extract relevant error messages, and formulate precise code corrections. Simply run the tool against your codebase; it sends errors to ChatGPT, receives corrected code snippets, and applies them back into your source files. It supports languages like Python, JavaScript, Java, and C++, enabling seamless integration into CI pipelines, developer workflows, and educational environments.

Who will use Automated Code Correction?

  • Software developers
  • DevOps engineers
  • QA and testing teams
  • Programming students
  • Technical educators

How to use the Automated Code Correction?

  • Step1: Clone the repository and install dependencies: `git clone ... && pip install -r requirements.txt`
  • Step2: Set your OpenAI API key: `export OPENAI_API_KEY=your_key`
  • Step3: Run the CLI against your project directory: `python auto_correct.py --path ./src`
  • Step4: Review suggested fixes in the generated patch files
  • Step5: Apply the patches or merge them into your codebase

Platform

  • Linux
  • Mac
  • Windows

Automated Code Correction's Core Features & Benefits

The Core Features

  • Automatic detection of compile/runtime errors
  • ChatGPT-powered code correction generation
  • Multi-language support (Python, JavaScript, Java, C++)
  • CLI integration for local and CI/CD use
  • Patch file creation for easy review

The Benefits

  • Reduces debugging time
  • Enhances code quality with AI-driven fixes
  • Integrates seamlessly into existing workflows
  • Supports multiple languages and frameworks
  • Open-source and extensible

Automated Code Correction's Main Use Cases & Applications

  • Debugging large codebases with complex error logs
  • Automating error fixes in CI/CD pipelines
  • Assisting students in learning to debug code
  • Speeding up code review by providing suggested patches
  • Integrating AI-driven correction into development environments

FAQs of Automated Code Correction

Automated Code Correction Company Information

Automated Code Correction Reviews

5/5
Do You Recommend Automated Code Correction? Leave a Comment Below!
Comments (1)
Dalwinder Singh
July 16 2025
import os import time import logging import hashlib import schedule from datetime import datetime from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.chrome.options import Options from selenium.webdriver.chrome.service import Service from webdriver_manager.chrome import ChromeDriverManager from selenium.common.exceptions import StaleElementReferenceException, WebDriverException, TimeoutException, NoSuchElementException # Configure logging logging.basicConfig( filename='whatsapp_unread_media_automation.log', level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s' ) # Directory for downloads DOWNLOAD_DIR = r"C:\Users\sgurv\OneDrive\Documents\whatsapp_automation\downloads" os.makedirs(DOWNLOAD_DIR, exist_ok=True) # Track existing files to avoid re-downloading existing_files = {} def safe_click(element, driver, retries=3): """Safely click an element with retries to handle stale references.""" for attempt in range(retries): try: driver.execute_script("arguments[0].scrollIntoView({block: 'center'});", element) element.click() return True except StaleElementReferenceException: time.sleep(1) if attempt == retries - 1: return False except Exception as e: logging.error(f"Error clicking element: {str(e)}") return False return False def download_blob_image(driver, element, filename, max_retries=2): """Download an image with a blob URL using JavaScript with retries.""" start_time = time.time() max_duration = 30 # Maximum 30 seconds per image for attempt in range(max_retries): if time.time() - start_time > max_duration: logging.warning(f"Download timeout exceeded for {filename} after {max_duration} seconds.")

Automated Code Correction's Main Competitors and alternatives?

GitHub Copilot
Tabnine
Sourcery
DeepCode
Codex CLI

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