Authors : Drishya P; Sheerin Farjana M; Jagath M D; Dinesh M

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/jmh9cumc

Scribd : https://tinyurl.com/mpz9zxfv

DOI : https://doi.org/10.38124/ijisrt/25apr695

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Abstract : As software development continues to evolve, developers are increasingly relying on advanced tools to enhance their coding efficiency. One such tool is the AI-powered autocompletion system, which helps to speed up coding by predicting and suggesting code snippets in real-time. While existing autocompletion tools offer basic suggestions, they often lack accuracy, context-awareness, and the ability to suggest meaningful optimizations. In addition, error detection and fixing, along with performance optimization, are crucial aspects of efficient software development. Developers often spend a significant amount of time identifying and correcting errors in their code, which can be tedious and error-prone. This project proposes an AI Smart Code Autocompletion, Error Fixing, and Optimization tool designed to significantly improve developer productivity by addressing these challenges. The tool leverages advanced machine learning algorithms and natural language processing to offer highly accurate and context-aware code suggestions, reducing the need for manual coding efforts. It goes beyond basic autocompletion by providing error detection and real-time error fixing, helping developers resolve issues before they impact the development process. Moreover, the tool incorporates performance optimization techniques, ensuring that suggested code not only works correctly but is also efficient and optimized for better performance. With features such as intelligent autocompletion, automatic error fixing, and optimization suggestions, this tool streamlines the coding process and enhances software development productivity. The system supports multiple programming languages, offering flexibility and adaptability for developers working across different coding environments. It also provides a comprehensive analysis of the code, ensuring logical consistency and robustness while optimizing performance. By reducing coding time, minimizing errors, and improving the efficiency of the code, this AI-powered tool enables developers to focus on more critical tasks, resulting in a more effective and productive development cycle.

Keywords : AI-Powered Autocompletion, Code Optimization, Error Fixing, Machine Learning, Software Development Productivity, Context-Aware Suggestions, Intelligent Coding, Performance Optimization, Real-Time Error Detection, Programming Languages, Code Analysis, Logical Consistency, Error Resolution, Developer Tools, Automated Coding Assistance.

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