3 posts tagged with "jitai"

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.

In enterprise digitalization and intelligent transformation, the biggest anxiety isn't the lack of tools—it's the fear of choosing the wrong path. Systems built with massive resource investments become obsolete and need complete overhauls within two years because they can't scale. Applications that required extensive employee training become bottlenecks as the business grows. AI technologies that look impressive in demos prove disconnected from business systems and unusable for employees. What enterprises truly need are systems that deliver fast, customize rapidly, and evolve with business needs—investments that generate long-term value. However, lightweight apps built on database-UI paradigms and AI applications deployed in isolation from business contexts are products of short-termism, failing to gain traction in large enterprises.

Without question, Cursor is a highly successful AI coding tool. Developers simply describe their requirements in natural language, and it leverages large language models to generate code and files, significantly boosting daily coding productivity. However, nearly all users encounter some unavoidable pain points during use.