International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
DEVELOPMENT OF AN AI-BASED CODE COMPLETION TOOL FOR ENHANCING DEVELOPER PRODUCTIVITY AND EFFICIENCY Neha Singh1, Deepshikha2 1Master of Technology, Computer Science and Engineering, Lucknow Institute of Technology, Lucknow, India 2Assistant Professor, Department of Computer Science and Engineering, Lucknow Institute of Technology,
Lucknow, India ---------------------------------------------------------------------***--------------------------------------------------------------------1.1.1 Software Development Challenges Abstract - Because developing software is now more complex, there is a strong need for intelligent tools to improve efficiency and lower the workload of developers. This research describes the design and development of an AI tool that assists with coding, boosts efficiency, increases accuracy and improves users’ experience. Presently, the tool can make code suggestions in real time for different programming languages, thanks to using training sets from large open-source code repositories and transformer models. It combines preprocessing your data, optimizing your models and smoothly using plugins in Visual Studio Code and other popular IDEs. Strongnumbers in precision, recall and latency point to good performance, while people using the system report being highly satisfied with how relevant and cross-language it is. Examining both technologies side by side proves that the new tool is faster and more accurate than the conventional version. As well as tackling current barriers in code automation, this work creates a strong base for future developments in AI-based programming. It greatly decreases the burden on the mind and allows developers to progress much quicker, mainly for beginners and intermediate staff.
Often, software developers find themselves in closed environments with demanding job schedules, since deadlines are short and work is reviewed quickly. Dealing with pressure often leads to greater stress, mistakes and a poorer experience at work. Even today, looking for errors in large codes is still a painstaking and difficult task that makes development slower. Along with fixing mistakes, making sure code is always of a high standard is very important. Incomplete or unorganized coding can accumulate technical debt, meaning systems are challenging to keep up, grow or fix as the years go by. Furthermore, rapid updates to programming languages, frameworks and tools require developers to invest more time and effort in staying up-to-date which takes its toll on their brains. Because these issues affect different aspects of software development, the need for technological help for developers is more important than ever.
1.1.2 Role of Artificial Intelligence in Software Engineering Many areas have seen change because of AI and software engineering is also being impacted. Artificial intelligence is starting to reshape the entire process of creating, testing and taking care of software products. Thanks to machine learning and natural language processing, AI can automate common tasks, produce code fragments from plain text, notice problems before they appear in actual code and enhance testing with data forecasting. With these abilities, software development is made faster and code easier to keep updated and maintain. In this situation, AI can play a big role by having assistants that understand development intent and deliver helpful suggestions in the right context. Because of these tools, developers rely less on reference materials and repeat assessment of similar tasks. For that reason, AI is boosting work efficiency and also making collaboration between machines and people the main aspect as we move forward with software development.
Key Words: AI-based Code Completion, Developer Productivity, Machine Learning in Software Engineering, Context-Aware Suggestions, Transformer Models, IDE Integration.
1. INTRODUCTION 1.1 Background Over the last few years, software development has moved away from basic, single applications to complex systems that are fundamental to today’s technologies. With the development of more complex software systems, developers encounter greater technical challenges that reduce their efficiency and productivity. Developers often have to meet strict deadlines, work with large projects, quickly master the updates to languages and frameworks and maintain good quality code. Such difficulties now require developers to pay even more attention and make it more likely for them to burn out which means there is a strong need for applications that lessen manual efforts in software development.
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1.1.3 Importance of Code Completion Tools Code completion is now an important function included in most modern IDEs which improves how fast developers can code. They quickly suggest code bits, functions and
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