Designing computer chips is a complex process, traditionally requiring expert engineers to write code in hardware description languages (HDLs) like Verilog. This process is time-consuming, error-prone, and demands specialized expertise. But what if AI could assist in this intricate task? Researchers are exploring this possibility with VeriAssist, an LLM-powered assistant designed to generate and verify Verilog code, potentially revolutionizing how chips are designed. Traditional methods of using LLMs for code generation often fall short when applied to hardware design due to the unique challenges of timing and synchronization in hardware circuits. Unlike software, where code executes sequentially, hardware components operate concurrently, requiring precise timing management. Previous attempts to leverage LLMs for Verilog often overlooked these timing constraints, resulting in inaccurate or non-functional designs. VeriAssist tackles these challenges by mimicking the iterative workflow of human engineers. It starts by generating an initial Verilog design and corresponding test benches. Then, it enters a loop of self-verification and self-correction. In the self-verification stage, VeriAssist walks through the generated code with test cases, analyzing its behavior at different time steps. This helps the LLM understand the code's logic and identify potential timing issues. The self-correction stage leverages a Verilog simulator to provide feedback on the design. If errors are detected, whether syntax errors or functional failures, VeriAssist uses this feedback to refine the code in subsequent iterations. This iterative process continues until the design passes all tests or a predefined time limit is reached. The results are promising. VeriAssist significantly improves the accuracy and functionality of generated Verilog code compared to traditional LLM approaches. It achieves a higher pass rate on benchmark tests and generates designs with comparable performance to those created by human experts. This suggests that VeriAssist could significantly reduce the time and expertise required for hardware design, making it more accessible to novice designers. While VeriAssist shows great potential, challenges remain. Generating high-quality test benches is crucial for effective verification, and this itself is a complex task for LLMs. Further research is needed to improve the reliability and comprehensiveness of automatically generated test benches. Additionally, incorporating feedback from the chip synthesis process, which translates the Verilog code into a physical chip layout, could further enhance the performance and efficiency of the generated designs. VeriAssist represents a significant step towards automating hardware design with AI. As LLMs continue to evolve and research progresses, tools like VeriAssist could transform the chip design landscape, enabling faster innovation and more efficient hardware development.