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Java is entering its agentic era. Watch a Java app evolve from legacy to modern, intelligent, and agentic systems with IntelliJ, GitHub Copilot, Spring AI, LangChain4j, and Microsoft Foundry at JDConf TOMORROW, April 8–9. Register and tune in:

Microsoft Developer

527,719 subscribers

15,495 次观看 • 6 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

6 条评论

crypton 的头像

crypton6 个月前

CwsoBR5g7AJ7ioRKCbN45WRXYSg4jozEAaHb5HEcoS7o

Financial Improv 的头像

Financial Improv6 个月前

@grok who is the character

ᅟ 的头像

ᅟ6 个月前

haha, can we name him javito??

Hyjn (hi-jin) 的头像

Hyjn (hi-jin)6 个月前

omg look at that lil fella at the beginning whats its name?

Big nuts 700 的头像

Big nuts 7006 个月前

No he aint

Pritesh Sonu 的头像

Pritesh Sonu6 个月前

Java moving into its agentic era is a perfect illustration of how intelligent systems are reshaping product and platform engineering. I observe the fastest transformations when teams treat agentic AI as an extension of their existing engineering culture, using it to handle integrations, testing, and optimizations while keeping human oversight on architecture decisions. This approach turns pilot velocity into sustained platform resilience. If your organization is modernizing legacy applications or internal platforms with agentic tools, what bottlenecks have you removed so far? I would be glad to exchange notes or explore how custom agentic engineering solutions can shorten delivery cycles without compromising quality. #AgenticAI #PlatformEngineering #ProductDevelopment #pravaahconsulting

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