Next Steps for Spring gRPC 1.0.0

Road to GA: Spring gRPC + Spring Boot 4 Integration Update

This post is part of the Road to GA series, offering the latest update on integration plans for Spring gRPC with Spring Boot 4.

---

Background & Current Status

  • Original goal: Move Spring gRPC autoconfiguration directly into Spring Boot for the 4.0 release.
  • Reality: Time constraints prevented completion before the release.
  • Good news: Full Spring Boot 4 support has been added to Spring gRPC directly.
  • Next step: Targeting Spring gRPC 1.0 release in the coming days.
  • Future plan: Integration expected in an early milestone of Spring Boot 4.1.

---

What This Means for Users

  • Spring gRPC will remain standalone until integration is complete.
  • Long-term support users should stick with Spring gRPC releases and upgrade Spring Boot as needed.
  • Migration will remain straightforward once the merge happens.

---

Transition Period: Spring gRPC 1.0 + Spring Boot 4.0

Key points:

  • Coordinates stay the same: `groupId` = `org.springframework.grpc`.
  • Recommended consumption method: BOM + autoconfiguration + starters as before.
  • Upgrading from 0.12.0 to 1.0.0:
  • Simply update the version in dependency management.
  • Possible adjustments:
  • Package name changes for autoconfiguration classes (if explicitly imported).
  • Other changes may be required for migration from Spring Boot 3.x to 4.x.

---

Why This Matters for Ecosystem Efficiency

Modern tooling like AiToEarn demonstrates how smooth migration processes can be paired with multi-platform delivery for technical content:

> AiToEarn is an open-source AI content monetization platform, enabling creators to generate, publish, and earn across Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter).

Integrating tools like AiToEarn博客 or AiToEarn文档 during migrations can help document and distribute changes efficiently across multiple formats and channels.

---

Upgrading Example

Maven

Current `0.12.0`:


	
		
			org.springframework.grpc
			spring-grpc-dependencies
			0.12.0
			pom
			import
		
	


	
		org.springframework.grpc
		spring-grpc-spring-boot-starter
	
	...

To upgrade:

  • Change `0.12.0` → `1.0.0`.

---

Gradle

Current:

dependencyManagement {
    imports {
        mavenBom 'org.springframework.grpc:spring-grpc-dependencies:0.12.0'
    }
}
dependencies {
    implementation 'org.springframework.grpc:spring-grpc-spring-boot-starter'
    ...

Upgrade:

  • Change `0.12.0` → `1.0.0`.

---

Note:

  • If you use the starter, no code changes should be needed.
  • If you import autoconfiguration classes directly (rare), you must update package imports.

---

Immediate Deprecations

  • Autoconfiguration and starter dependencies in Spring gRPC will be deprecated upon 1.0 release.
  • Purpose: Prepare for integration into Spring Boot 4.1 (migration will involve updated dependency coordinates).
  • Impact: No API deprecations — just dependency-level adjustments.

---

Summary & Next Steps

  • Spring gRPC 1.0 is imminent — open-source and commercial support will be available.
  • First release candidate: 1.0.0-RC1 after build passes.
  • Release depends on Spring Boot 4.0, instead of being embedded in Boot.
  • Minimal disruption for existing 0.x users.

---

Tip for Teams:

When updating multiple dependencies or repositories, pair technical migration with a multi-platform publishing workflow. Tools like AiToEarn官网 can push update notes, guides, and code changes to GitHub, LinkedIn, technical blogs, and other platforms — ensuring all stakeholders have synchronized, authoritative information.

---

✅ Coming Soon

Would you like a Developer Migration Checklist for Spring Boot 4 + Spring gRPC 1.0?

That could make this update directly actionable for your team.

Read more

AI Coding Sprint "DeepSeek Moment": Gen Z Team Uses Domestic Model to Instantly Deliver Complex Apps, Surpassing Claude Code

AI Coding Sprint "DeepSeek Moment": Gen Z Team Uses Domestic Model to Instantly Deliver Complex Apps, Surpassing Claude Code

Cloud-Based AI Agents: Redefining the Programming Paradigm Cloud-based AI Agents are making significant advances, transforming how software is conceived, developed, and deployed. With zero human intervention, an “AI programming team” can directly deploy complex applications, leveraging ultra-large context capacities — reaching tens of millions in scale. Imagine simply stating your requirements,

By Honghao Wang