Code Refactoring Bot

About Client

Industry

Software

Location

Hong Kong

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Project Overview
Traditional Process
Challenges
Our Solution
Outcome
Features
Technologies Used

Project Overview

Our client, a software development company, faced challenges with the traditional code refactoring and documentation process, which involved manual code reviews, corrections, and documentation. 

Manual processes were prone to errors, and the increasing complexity of projects made it difficult to maintain consistent code quality. This process was also time-consuming and includes more human-effort.

To address these challenges, we developed a bot that integrates with GitLab and other version control systems, automating the code correction, quality assurance, and documentation tasks. 

This bot leverages ChatGPT-4 by OpenAI for natural language processing, GitLab API for repository access, and a web application framework for the user interface.

Traditional Code Refactoring and Documentation Process

01
Code Selection: Developers manually select the code repository for refactoring and documentation.
02
Manual Code Refactoring: Developers manually review and refactor the code to improve its quality and readability.
03
Manual Testing: Developers manually test the refactored code to ensure its functionality and identify any bugs or issues.
04
Manual Documentation: Developers manually create documentation for the refactored code, including comments, explanations, and usage instructions.

Challenges in Traditional Process

01
Time-Consuming Manual Processes: The manual nature of code refactoring, testing, and documentation processes leads to significant time investment.
02
Error-Prone Manual Refactoring: Manual code refactoring is prone to errors and inconsistencies, affecting code quality.
03
Inefficient Testing: Manual testing may overlook certain issues, leading to bugs and errors in the code.
04
Tedious Documentation: Manual documentation is a time-consuming task that requires attention to detail and can be prone to omissions or inaccuracies.

Our Solution

Our Code Refactoring and Documentation Bot offers a powerful and efficient solution for automating the code review, refactoring, testing, and documentation processes. By leveraging ChatGPT-4 by OpenAI, GitLab API, and a user-friendly interface, our bot streamlines software development workflows, improves code quality, and enhances overall efficiency for our client's development team.

01
Automated Code Selection: The bot allows users to select a code repository from GitLab or other sources.
02
Automated Code Refactoring: Using ChatGPT-4 by Open AI, the bot analyzes the selected code, identifies areas for improvement, and automatically refactors the code to enhance its quality and readability.
03
Automated Testing: The bot includes automated testing procedures to ensure the functionality and reliability of the refactored code.
04
Automated Documentation: The bot generates comprehensive documentation for the refactored code, including comments, explanations, and usage instructions.

Outcome

01
Significant Time Savings: The automated process reduces the time required for code refactoring, testing, and documentation.
02
Improved Code Quality: Automated refactoring ensures consistent and high-quality code.
03
Enhanced Efficiency: Automation streamlines the entire process, making it more efficient and less prone to errors.
04
Better Developer Experience: Developers can focus on more strategic tasks while the bot handles routine code maintenance.
05
Increased Productivity: With faster code maintenance, developers can deliver updates and new features more quickly.
06
Benefits in Numbers: As below;

98% accurate code-refactoring

95% efficiency increased and human-efforts saved

Infinite blessings received from their developers

Features of Code Refactoring and Documentation Bot

Integration with GitLab API: Allows seamless integration with GitLab repositories for code selection and management.
ChatGPT-4 Integration: Utilizes ChatGPT-4 by Open AI for code analysis, refactoring, and documentation.
Automated Testing: Includes built-in testing procedures to ensure code functionality and reliability.
Summarized Documentation: Generates concise and comprehensive documentation for the refactored code.
User-Friendly Interface: Provides an intuitive interface for easy code selection and bot interaction.
Customizable Settings: Allows users to customize refactoring and testing settings based on project requirements.

Technologies Used

front-end2
System BE

FastAPI - It is a modern, fast, and easy-to-use Python web framework that offers high performance, automatic API documentation, and asynchronous actions.

Front-End

React JS - It provides modern, scalable, and dynamic user interfaces that provides high performance, component-based architecture.

Database

  • PostgreSQL

backed
Third Party Integrations

OpenAI API, GitLab API, and Google Translate API