The integration of intelligent agents is not only transforming but also revolutionizing collaborative design. This work goes deep into detail on the complexities of collaborative design processes among intelligent agents. This topic represents the frontier of fast-evolving distributed systems and artificial intelligence research. Equipped with sophisticated algorithms and learning mechanisms, intelligent agents are increasingly harnessed for complex problem-solving and creativity to support human designers or operate autonomously in collaborative environments. Thus, the ‘resource sharing’ abstract is a powerful tool, covering a wide spectrum of resources, including data, computational power, expertise, and decision-making capabilities. Resource sharing enables intelligent agents to combine their capabilities to effectively amplify strengths and mitigate weaknesses in achieving collective objectives efficiently and effectively. The present paper discusses some of the aspects of resource sharing in collaborative design settings, focusing on mechanisms for sharing and allocation. Strategies, negotiation protocols, and coordination mechanisms all bear significant practical implications and promise a more collaborative and efficient future. Interoperability, privacy concerns, conflicting objectives, and trust among agents are daunting but manageable hurdles in this race. This paper further explores the exciting challenges and promising collaborative design opportunities among intelligent agents. They are not roadblocks but opportunities for growth and learning. On the other hand, opportunities are not stepping stones but paths to success. They bring possibilities to exploit various competencies, tap collective genius, and realize bigger innovation and problem-solving success. These possibilities are not an aspiration of some distant future but a tangible reality we can shape and explore. The theoretical bases, practical methodologies, and emerging trends in the domain also indicate the possibility of further research and development in collaborative design methodologies. Such a broad understanding will eventually provide the knowledge and perspectives necessary to conduct business in this ever-evolving domain. Moreover, this paper delves into the thrilling challenges and promising collaborative design opportunities among intelligent agents. The challenges, akin to hurdles in a race, such as interoperability, privacy concerns, conflicting objectives, and trust among agents, are daunting and manageable. They are not roadblocks but opportunities for growth and learning. Conversely, the opportunities are not just stepping stones to success; they are the path to success. They offer the potential to leverage diverse expertise, harness collective intelligence, and achieve higher innovation and problem-solving efficacy. By leveraging interdisciplinary research in artificial intelligence, multi-agent systems, design theory, and cognitive science, this paper comprehensively examines collaborative design facilitated by resource-sharing among intelligent agents. It illuminates the theoretical foundations, practical methodologies, and emerging trends in this domain and highlights the potential for further research and development in collaborative design methodologies. This comprehensive understanding will equip one with the knowledge and perspectives necessary to navigate this ever-evolving domain.