# Comparative Analysis of Chatbots Using Large Language Models for Web Development Tasks
## 3 Materials and Methods  
The capabilities of LLMs in assisting with coding tasks are both promising and concerning. On the one hand, these AI systems can produce useful code snippets, functions, or routines when provided with clear and detailed prompts describing the desired functionality [24]. This can potentially boost developer productivity for certain coding subtasks. However, the generated code is not always reliable or functional, as language models can also produce nonsensical, insecure, or buggy outputs [25; 26; 27]. The quality of the generated code heavily depends on the quality and specificity of the prompts [28; 29]. While state-of-the-art language models excel at code understanding and generation tasks within limited scopes, they still struggle to independently develop complete, complex applications from scratch. Their current strengths lie more in assisting developers with specific coding challenges like implementing algorithms, refactoring code, or autocompleting partial functions [30]. When leveraging AI-generated code, developers must remain vigilant about verifying its correctness, security, and adherence to best practices [31; 32; 33]. There are also unresolved legal questions around the ownership and licensing of AI-generated code [34]. Overall, AI can be a useful coding aid but should be viewed as an assistive tool requiring close human supervision and scrutiny, rather than a replacement for skilled programmers [35]. Web development encompasses much more than just code generation, and while large language models are not yet capable of producing code for entire mid- or large-scale applications, they can significantly assist human programmers. The following strategies illustrate how these capabilities can be effectively organized into various categories to enhance productivity and streamline workflows. Code Assistance and Optimization [36; 37; 38]. 1. Automated Code Creation--chatbots can efficiently generate code for various web development tasks, including the creation of well-structured HTML, CSS, JavaScript functions, and database queries, thereby conserving valuable development time. 2. Code Suggestions--these tools provide context-aware code completion suggestions that align with the coding style being used, enhancing overall productivity. 3. Cross-Language Code Transformation--when dealing with multiple programming languages or frameworks, chatbots can seamlessly convert code snippets from one language or framework to another, facilitating easier integration and maintenance. 4. Code Clarification--chatbots aid in the comprehension of complex code by offering detailed explanations or answering specific queries related to the code. 5. Code Optimization--by proposing improvements and refactorings, chatbots assist in enhancing the efficiency and readability of code with minimal effort from the developer. 6. Code Evaluation--these tools can identify issues and security vulnerabilities within the code, ensuring that it remains both efficient and secure. Bug Management and Testing [39; 40]  
1. Bug Identification and Resolution--chatbots are capable of pinpointing and resolving bugs that may cause issues within the code, thereby streamlining the debugging process. 2. Testing Assistance--chatbots provide support in writing unit tests, generating comprehensive test cases, and selecting suitable testing frameworks or libraries, thus enhancing the testing phase. System Design and Mock Data [41]  
1. System Design Advice--these tools offer valuable insights and recommendations for designing systems using specific technology stacks, or they can compare different architectural designs to help select the optimal approach. 2. Mock Data Creation--chatbots can quickly generate mock data for various domains and formats, facilitating development and testing processes. Documentation and Learning [42; 43; 44]  
1. Documentation Support--chatbots assist in writing detailed comments and documentation for code, ensuring clarity and maintainability. 2.