Posts

All the articles I've posted.

• Streaming LLM responses in Spring AI for a better user experience

  2 Mar, 2026

  LLMs generate text token by token. Streaming lets your users see that text as it arrives instead of staring at a loading spinner. This post shows how to wire Spring AI's stream() to a Server-Sent Events endpoint.

• Getting structured JSON responses from LLMs in Spring AI

  2 Mar, 2026

  LLMs return free-form text by default. Spring AI's structured output support maps that text directly into Java records and classes — no manual JSON parsing, no fragile string manipulation.

• Prompt templates in Spring AI — stop hardcoding your prompts

  2 Mar, 2026

  Hardcoded prompt strings in Java code are hard to review, impossible to change without a redeploy, and a maintenance nightmare at scale. Spring AI's PromptTemplate solves this. Here is how to use it properly.

• Understanding Spring AI's ChatClient — the heart of every AI call

  2 Mar, 2026

  ChatClient is the central abstraction in Spring AI. This post covers the builder API, default system prompts, per-call options, advisors, and the difference between call() and stream() — everything you need to use it effectively.

• Setting up Spring AI in a Spring Boot project — step by step

  2 Mar, 2026

  Module 2 starts with code. This post walks through adding Spring AI to a Spring Boot project, configuring OpenAI and Ollama, and making your first real LLM API call from Java.