4 posts tagged with "Enterprise Applications"

Over the past decades, development tools have continuously evolved in programming capabilities, yet orchestration abilities remain absent. Business systems comprise modules like portals, pages, components, models, and services—their organizational relationships determine architecture quality. Traditional tools lack visual orchestration support, hiding system structures within code and making maintenance difficult. Software development is undergoing a shift from programming-centric to balanced programming and orchestration, where orchestration-oriented architectures, frameworks, and tools deliver both improved development efficiency and sustained architectural elegance.

Over the past decade, the enterprise software market has been swept by the SaaS wave. Vendors attracted customers with promises of rapid deployment, pay-as-you-go pricing, and zero operations overhead. Enterprises seemed to have only one choice—entrust their data to third parties.

But entrusting core data to third parties contradicts long-term enterprise interests! Enterprises chose SaaS because private deployment operations were too complex. But technology has advanced—private deployment is no longer expensive. Behind SaaS convenience lies data security risks, vendor lock-in, and runaway long-term costs. Enterprises should reconsider this choice.

Traditional low-code/visual development platforms rely on black-box rule engines, fundamentally limiting application extensibility. They sacrifice expressive power for simplicity, inevitably failing in complex enterprise scenarios. True visual development shouldn't constrain capabilities—it should enable developers to orchestrate system modules and technical capabilities visually, transitioning from closed DSL (Domain Specific Language) engines to open orchestration protocols, from limited expression to unlimited integration.

AI-native application architecture must address not only how AI modules are designed and integrated, but also how traditional technical modules are perceived, driven, and orchestrated by AI. Attempting to integrate AI capabilities into legacy event-driven architectures is like putting an internal combustion engine on a horse cart—foolish and inefficient. Traditional enterprise applications like ERP, CRM, and OA systems will inevitably be reshaped by new AI-native architectures and development paradigms.