design

spring-ai: Java framework to speed up AI product development

Leverage spring-ai’s 9.5k+ GitHub-star Java framework to rapidly prototype, test, and deploy AI features—perfect for founders building intelligent applications.
intermediate⏱ 1-2 hours💵 Free (self-hosted)
9,517 stars+13★ this week2,949 forksJavaGuide quality 9/10 · reviewed Oct 8Updated 10/8/2026100% free · open source
What it is

Build an AI application using code with Spring-projects' Spring-AI.

Real use case example

"A founder uses Spring-AI to automate customer onboarding by writing a Java script that integrates with their Notion database and a Mailgun email service. They write and deploy the code, configure Spring-AI to watch their Notion database, and receive an email notification whenever a new customer signs up."

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When to use it
  • •Building a new AI-powered application with a Java-based backend
  • •Integrating machine learning models into an existing Spring-based application
  • •Developing a real-time data processing pipeline with AI-driven insights
Ready-to-paste prompt
Create a simple AI-powered chatbot by implementing the `AIModel` interface and using the `@EnableAI` annotation, then test it using the `curl` command: `curl -X POST -H 'Content-Type: application/json' -d '{"input": "Hello, how are you?"}' http://localhost:8080/chat`
Heads up: Ensure you have Java 11 or later installed, as Spring-AI requires a minimum of Java 11 to function correctly
Saves to your device
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New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/spring-ai && curl -fsSL https://workflowstacks.com/api/skills/spring-ai/claude-skill -o ~/.claude/skills/spring-ai/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How spring-ai: Java framework to speed up AI product development works
Codeflow
Free to inspect

Spring-ai: Java framework to speed up AI product development is a very large Java project (~154k lines across 1316 code files, plus 956 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~154k lines · 1316 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Java/JVM
No API keys detected
Java 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    src/ecosystem-ci/README.md
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic9 files
starters/Templates48 files
auto-configurations/Folder605 files
models/Data models & types515 files
mcp/Folder349 files
spring-ai-model/Folder326 files
spring-ai-docs/Folder256 files
vector-stores/Folder254 files
READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
spring-projects
Language
Java
Category
design
Published
6/27/2023

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