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RSS FeedWelcome to JSBlogs — a place where I share my learnings about Java, Spring, Security, and backend engineering. I'm Jitendra Singh Bisht, a Software Engineer who loves exploring new tech and helping the community.
Recent Posts
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Streaming LLM responses in Spring AI for a better user experience
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.
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Getting structured JSON responses from LLMs in Spring AI
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.
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Prompt templates in Spring AI — stop hardcoding your prompts
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.
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Understanding Spring AI's ChatClient — the heart of every AI call
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.
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Setting up Spring AI in a Spring Boot project — step by step
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.