2025 International Conference on Computing and Smart Systems (ICCSS)

The rapid expansion of software systems in com bination with the ubiquitous growth of artificial intelligence has drastically changed the programming culture. Traditional integrated development environments mostly offer syntax-level support in a very superficial manner without actually under standing the developer’s intention. This paper presents an AI powered integrated development environment that can perform semantic reasoning, generate code from natural language, create documentation automatically, and debug in an interactive man ner. The system is developed using Python, TailwindCSS, Monaco Editor, and Xterm.js, and it combines the traditional development ergonomics with advanced reasoning by large language models. The backend is fully autonomous and communicates in real-time through WebSocket along with having persistent data storage. Evaluation in practical scenarios reveals that the system can shorten the time spent on repetitive coding tasks by about forty percent and the number of debugging iterations by roughly twenty percent as compared to the usual methods.

code generation,Machine learning techniques,Machine learning model,NLP,ai