Tag: spring-ai
All the articles with the tag "spring-ai".
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Choosing an AI model for your Java application — OpenAI, Anthropic, or local
With Spring AI abstracting the model layer, switching providers is mostly a config change. The harder question is which model to pick for your use case. This post gives you a practical comparison and a decision guide.
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Tokens and context windows — what every developer must understand
Tokens and context windows are not just billing details. They are hard engineering constraints that shape how you design prompts, manage conversation history, and build RAG pipelines. Here is everything you need to know.
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How LLMs work — a developer's mental model (no PhD required)
Before writing a single line of Spring AI code, you need to understand what an LLM actually is and how it behaves. This post builds the mental model that will inform every architectural decision you make.
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The AI project we will build throughout this course
Before diving into code, meet Dev — a Java developer who just got assigned an AI task — and see the complete architecture of what we build across all 8 modules of this course.
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Why Java developers should care about AI engineering right now
AI engineering is no longer a research discipline. It is a set of API calls, prompt design, and system architecture — and Java developers are already equipped to do most of it. Here is why now is the right moment to start.