The usage of Artificial Intelligence (AI) in various programming areas and various software developments has started a transformative era, leading to development processes and transforming the workflow of various programmers and developers. Standard AI tools OpenAI's ChatGPT, and its advanced features such as GPT-4, has led to debates about the role of AI in the field of programming.

These discussions talk about the coverage of AI's potential to increase the efficiency of coding, highlighting its current limitations, and the incoming future where AI helps thoroughly in the coding process. It also stresses on the fact that AI will also be offering both support and also arise challenges for the developers in the field. 

The AI-powered programming tools, like GitHub Copilot, will also speed up the coding procedures. And they have reached milestones in speeding up the coding processes.

These tools have various features to automate iterative tasks, can generate simpler code snippets, and leverage various machine learning algorithms trained on various code collections. This kind of feature enables various developers to write their code more efficiently and accurately. It also helps them to focus on the complexity of code development. Moreover, AI based algorithms can be used to analyse vast data sets, which helps in offering developers to gain valuable insights. This also helps in decision-making processes.

This capability of AI particularly helps in web development and helps in improving website design. They also assist in optimising the user experience, and enhancing the overall website performance. 

But there are certain limitations to AI as well. AI undoubtedly has a promising contribution to various web development projects but still several limitations coexist. AI-generated so called useful information can sometimes also turn out to be inaccurate, this is called a phenomenon widely known as "hallucinations”.

AI tools are not extraordinary, they also struggle with creativity and even innovation. They often focus on recycling the existing patterns and the existing structures as well without generating a truly original content. Tasks like complex problem solving and fixing various bugs are another kind of challenge for AI. 

Communication with the clients and understanding their thought process is very much essential for the successful project completion. Various AI tools find it challenging to evaluate various ambiguous requests, which necessitates human intervention for the clarification of the requests and its proper execution. 

Privacy concerns and ethical considerations also are major concerns that arise with AI's usage for development, particularly when it comes to the protection of one’s property and also ensuring the data privacy of an individual when AI tools in various sectors are made to deal with sensitive information. 

In the future, AI will be used continually for shaping the future of coding and also its development, which will take place in a collaborative manner accompanying human programmers.

So, the conclusion is that AI's impact on various coding and development of varied projects is a profound act that will offer significant new capabilities. 

However, the certainty of the future integration relies on addressing  the current limitations of AI and also ensuring that AI tools work in sync with humans rather than replacing the uplifting skills of human developers.