Redefining Developer Productivity: Vibe Coding with Spring AI

Software development is evolving rapidly. While Java continues to be the backbone of enterprise applications, AI-driven tools are reshaping the way we design, build, and deploy modern solutions

Vibe Coding — a modern, flow-state approach where developers collaborate with AI copilots to stay focused, creative, and insanely productive. In this blog, we explore how AI-assisted Vibe Coding, especially with Spring Boot + LLMs, is redefining the future of Java development.

“Vibe Coding” refers to:

A seamless, AI-augmented way of programming where developers use natural language prompts and AI tools to generate, refactor, and optimize code.

Rather than manually writing boilerplate or wiring configuration, Java developers now delegate that to AI tools like:

  • GitHub Copilot
  • ChatGPT
  • Spring AI
  • LangChain4J

Think of it as an AI-powered developer working alongside you, seamlessly within your IDE

Lets Understand with the help of real time example for vibe Coding .

We want to built stock advice API using Spring AI and Vibe Coding

Goal

You want to create a simple REST API like this:

GET /stock/advice?symbol=TCS

It returns advice like:

"TCS is currently stable, but global IT headwinds may impact short-term performance. Consider holding."

Let’s build it using Vibe Coding.

Create Spring Boot project with Spring AI

Step 1 : add dependencies

<dependencies>
    <!-- Spring Boot Web Starter -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>

    <!-- Spring AI - OpenAI integration -->
    <dependency>
        <groupId>org.springframework.ai</groupId>
        <artifactId>spring-ai-openai-spring-boot-starter</artifactId>
        <version>0.8.1</version>
    </dependency>
</dependencies>

Step 2 : Create a Controller

@RestController
@RequestMapping("/stock")
public class StockAdviceController {

    @Autowired
    private StockAdviceService adviceService;

    @GetMapping("/advice")
    public ResponseEntity<String> getAdvice(@RequestParam String symbol) {
        String response = adviceService.getAdvice(symbol);
        return ResponseEntity.ok(response);
    }
}

Step 3 : Create the Service with Spring AI

@Service
public class StockAdviceService {

    @Autowired
    private ChatClient chatClient;

    public String getAdvice(String symbol) {
        String prompt = String.format("""
            Give a short investment advice for the stock with symbol '%s'.
            Include general sentiment and risk factors if known.
        """, symbol);

        ChatResponse response = chatClient.call(new Prompt(prompt));
        return response.getResult().getOutput().getContent();
    }
}

Step 4 : application.properties config

# ===========================
# Spring AI OpenAI Settings
# ===========================

spring.ai.openai.api-key=sk-XXXXXXXXXXXXXXXXXXXXXXXXXXX
spring.ai.openai.base-url=https://api.openai.com/v1
spring.ai.openai.chat.model=gpt-3.5-turbo

When to Use Vibe Coding

  • When we are building a proof of concept or MVP quickly
  • When you’re exploring or experimenting
  • When building AI-powered apps (like chatbots or recommendation engines)

Redefining Developer Productivity: Vibe Coding with Spring AI was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

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