This paper presents a comprehensive review of FPGA-based dynamically reconfigurable VLSI systems. With the increasing demand for adaptability and flexibility in modern VLSI designs, dynamically reconfigurable systems offer promising solutions. This review aims to explore the advancements, challenges, and potential applications of FPGA-based dynamically reconfigurable VLSI systems.The review begins by introducing the concept of dynamic reconfiguration and its significance in VLSI design. It further delves into the architectural considerations and design methodologies specific to FPGA-based implementations. Various techniques for dynamic reconfiguration, such as partial reconfiguration and run-time reconfiguration, are examined, highlighting their benefits and limitations.Furthermore, the review investigates the impact of dynamic reconfiguration on key performance metrics, including power consumption, area utilization, and runtime. Case studies and experimental results are analyzed to provide insights into the practical implementation aspects and performance trade-offs associated with FPGA-based dynamically reconfigurable VLSI systems. Moreover, the review explores emerging trends and future research directions in this field, including the integration of machine learning and artificial intelligence techniques for dynamic reconfiguration. Additionally, challenges related to design complexity, verification, and reliability are discussed, along with potential solutions and ongoing research efforts.Overall, this review serves as a valuable resource for researchers, engineers, and practitioners working in the field of VLSI design, providing a comprehensive understanding of FPGA-based dynamically reconfigurable systems and their implications for future VLSI architectures.