In a landscape dominated by TypeScript and Python for AI agent development, a Chinese developer makes a compelling case for Java. The article, published on the Chinese blogging platform Cnblogs, outlines four key reasons why Java remains relevant for enterprise AI agents: JDK compliance for regulated environments, adaptation to domestic operating systems like HarmonyOS, operational simplicity through single-process/system command patterns, and extensibility via Java's plugin ecosystem. The author introduces SolonCode, an open-source Java-based coding agent that supports Java 8 through 26. This perspective is particularly relevant for enterprises in China and other markets where regulatory compliance and legacy system integration are critical. The article challenges the assumption that modern AI agents must be built on newer languages, highlighting Java's maturity and ecosystem advantages. For overseas developers, this offers a valuable counterpoint to the prevailing narrative and practical considerations for enterprise deployments.
This article argues for Java as a viable alternative to TypeScript and Python for building AI agents in enterprise settings, citing JDK compliance, domestic OS adaptation, operational simplicity, and extensibility.