LLM for Development

🤖 LLM as Your Coding Partner (5–20 min)

💻 Live Coding — Build a Feature with AI (20–40 min)

-- Prompt technique 1: Precise context
"I have a Spring Boot app with a Student entity (id, name, email, dept, gpa).
Write a JPA repository method that finds all students in a given department
with GPA above a threshold, sorted by GPA descending."

-- Prompt technique 2: Explain existing code
"Explain this Spring Boot code line by line:
[paste your code]"

-- Prompt technique 3: Debug with AI
"I'm getting this error: [paste error]
Here's my code: [paste code]
What's wrong and how do I fix it?"

-- Prompt technique 4: Generate tests
"Write JUnit 5 tests for this Spring Boot service method:
[paste method]
Include edge cases: null input, empty list, duplicate email."

🔭 Build an AI-Powered Chat Feature

// Spring Boot endpoint calling Groq API (free LLM)
@Service
public class AiService {
    @Value("${groq.api.key}")
    private String apiKey;

    private final RestTemplate rest = new RestTemplate();

    public String ask(String question) {
        var headers = new HttpHeaders();
        headers.setBearerAuth(apiKey);
        headers.setContentType(MediaType.APPLICATION_JSON);

        var body = Map.of(
            "model", "llama3-8b-8192",
            "messages", List.of(Map.of("role", "user", "content", question))
        );

        var resp = rest.postForObject(
            "https://api.groq.com/openai/v1/chat/completions",
            new HttpEntity<>(body, headers),
            Map.class
        );
        return ((Map) ((List) resp.get("choices")).get(0))
            .get("message").toString();
    }
}