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## Goal
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The project provides a collection of `System prompts` for Java Enterprise development that help software engineers in their daily programming work and data pipelines.
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The project provides a collection of `System prompts` for Java Enterprise development that help software engineers in their daily programming work and pipelines.
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The [available System prompts for Java](./CURSOR-RULES-JAVA.md) cover aspects like `Build system based on Maven`, `Design`, `Coding`, `Testing`, `Refactoring & JMH Benchmarking`, `Performance testing with JMeter`, `Profiling with Async profiler/OpenJDK tools`, `Documentation` & `Diagrams`.
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### Compatibility with Modern IDEs, CLI & Others
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### Data pipelines workflow
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### Pipelines workflow
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Adding AI tools to your data pipeline can provide new opportunities to deliver more value (examples: automatic coding, code refactoring, continuous profiling, and others).
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Adding AI tools to your pipeline can provide new opportunities to deliver more value (examples: automatic coding, code refactoring, continuous profiling, and others).
<spanclass="page-subheading">A collection of System prompts for Java Enterprise development that help software engineers in their daily programming work & data pipelines.</span>
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<spanclass="page-subheading">A collection of System prompts for Java Enterprise development that help software engineers in their daily programming work & pipelines.</span>
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</div>
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<divclass="page-heading">
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<h1>Cursor Rules for Java</h1>
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<spanclass="page-subheading">A collection of System prompts for Java Enterprise development that help software engineers in their daily programming work & data pipelines.</span>
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<spanclass="page-subheading">A collection of System prompts for Java Enterprise development that help software engineers in their daily programming work & pipelines.</span>
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<h3class="post-title"><ahref="../blog/2025/07/prompt-quality-framework.html">The Three-Node Quality Framework for AI Prompts</a></h3>
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<iclass="fa fa-calendar-o"></i>
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2025-07-20
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Juan Antonio Breña Moral
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<ahref="../tags/blog.html">blog</a>
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Overview
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When designing AI prompts for complex tasks like code generation and software development, a structured quality framework ensures both comprehensive responses and safe execution. This document outlines the three-node quality framework that combines prerequisites, content structure, and ongoing safety measures.
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The Three Pillars
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1. constraints - Prerequisites & Blocking Conditions
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