AI-Driven Enterprise Integration: Leveraging MuleSoft, Micro-services, and vibe coding for a Scalable Cloud Ecosystem
DOI:
https://doi.org/10.63282/3050-9246/ICRTCSIT-104Keywords:
Enterprise Integration, MuleSoft, Microservices, Vibe Coding, AI-Driven Development, Cloud Ecosystem, Scalability, API-Led Connectivity, Continuous Integration, Middleware Architecture, Developer Productivity, Cloud-Native ApplicationsAbstract
The pace at which digital transformation is proceeding has elevated enterprise integration as an indispensable enabler for attaining agility, scalability, and efficiency in cloud-native environments. The traditional monolithic IT architecture does not meet the needs of dynamic traffic, heterogeneous data flows, and real-time business, which causes scattered systems and higher capital expenditure. To tackle these challenges, this paper presents an AI-based e-enterprise integration framework by integrating uncommon technology trends: (i) MuleSoft API-led connectivity, (ii) microservices architecture, and (iii) Vibe coding new paradigm to create a scalable and reliable cloud environment. On the one hand, a reliable middleware platform like MuleSoft for standardless API management and homogeneous system communication; on the other, microservices to decouple application logic for optimal scalability and fault tolerance. Extensive Video-Based Coding on these, vibe coding provides a new AI-powered development paradigm in which natural language prompts, context-aware learning, and iterative human–AI collaboration enable developers to design, deploy, and optimize integration flows faster. This best-of-both-worlds hybrid model not only saves developers’ time but also allows enterprise teams to move from doing the low-level coding work toward orchestration and governance, which is where you have the most leverage in building your app.
The paper details an approach to AI augmented coding agents that generate MuleSoft configurations and microservice templates that can then be iteratively refined by developers, creating an environment for collaborative coding, shortening release cycles, and improving code quality. Experimental verification with a case study proves they are faster in deployment and more robust to integration errors, as well as better adaptive to enterprise systems than other traditional schemes. Results demonstrate that vibe coding in MuleSoft-developed microservices contexts can decrease the time to develop integrations by 40%, reduce operational latency by 25% and provide better maintainability. In addition to technical wins, this work elaborates on the organizational effects, such as cultural change, involved with adjusting to AI-augmented workflows, implications for compliance, and governance approaches. Finally, the research presents AI-powered integration with MuleSoft as a rateable and future responsive model for an enterprise cloud caching etiquette powered by microservices and vibe coding
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