GENERATIVE AI-BASED TECHNICAL DOCUMENTATION GENERATOR

Abstract

Technical documentation is an essential part of software development because it explains the functionality, architecture, configuration, APIs, installation procedures, and usage of software systems. Developers and technical teams often need to create and maintain large amounts of documentation throughout the software development lifecycle. However, preparing documentation manually can be time-consuming, repetitive, and difficult to keep synchronized with frequently changing source code. The Generative AI-Based Technical Documentation Generator is proposed as an intelligent system that automatically generates technical documentation using Generative AI and Natural Language Processing. The proposed system accepts different software resources such as source-code files, project repositories, API specifications, configuration files, database schemas, and existing documentation. The system analyzes these resources to understand the structure and functionality of the software project. It identifies important components such as classes, functions, modules, APIs, dependencies, parameters, return values, configuration requirements, and relationships between different components. A Generative AI model is then used to transform the extracted technical information into structured and human-readable documentation. The system can generate documents such as API documentation, module descriptions, installation guides, configuration instructions, code explanations, system overviews, developer guides, and troubleshooting information. Retrieval techniques can be used to provide the AI model with relevant project-specific information and reduce unsupported or inaccurate content. The generated documentation can be presented through a centralized web interface where developers can review, edit, regenerate, and export the content. The system can also compare documentation with updated source code and identify sections that may require modification. Version-controlled documentation can help teams maintain a consistent history of changes and make it easier to track documentation updates.