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A collection of System prompts and Skills for Java that help software engineers & pipelines in their daily programming work.

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jabrena/cursor-rules-java

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Cursor AI rules for Java

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Goal

The project provides a collection of System prompts & Skills for Java Enterprise development that help software engineers and pipelines in their daily programming work. The available System prompts for Java 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 & AGENTS.md.

Deliverables

The project generates a set of deliverables at the end of any iteration.

  • System prompts for Java located in .cursor/rules
  • Skills for Java located in .agents/skills

How many System prompts for Java does this project include?

Explore the complete catalog of available System prompts to discover the full range of capabilities and find the perfect rules for your specific use cases.

How many AI Skills for Java does this project include?

Explore the folder .agents/skills for further details.

Getting started

Read the following comprehensive guides to use this project today.

How to use them?

The SLDC has evolved with the arrival of this new set of AI tooling, enhancing the Software Engineering process. The project provides System prompts for Java & Skills for Java to improve the LLM Behaviour when a model tries to complete Java tasks. In the development of this project, it was identified 2 different workflows: Enginering Java development workflow & Pipelines workflow.

Enginering Java development workflow

Adding AI tools to the Java development workflow can increase the likelihood of implementing software specifications on time and with quality.

In this workflow, you could delegate completely a task or ask help in certain moments. You could use this project to refactor the code generated or delegate the task and associate a System prompt / Skills to that task

Pipelines workflow

Adding AI tools to your pipeline can provide new opportunities to deliver more value (examples: automatic coding, code refactoring, continuous profiling, and others).

Limitations

Lack of determinism

From the outset, be aware that the results provided by interactions with the different Cursor rules are not deterministic due to the nature of the models, but this can be mitigated with clear goals and validation checkpoints.

Limits of interactions with models

Models are able to generate code, but they cannot run code with your local data. To address this limitation, some prompts provide scripts to bridge this gap on the model side.

Compatibility with Modern IDEs, CLI & Others

The repository was designed to support Cursor, but other tools have evolved and now offer better support for system prompts. The repository runs regular regression tests for IDEs and tools such as Cursor, Cursor CLI, Claude Code, GitHub Copilot, and JetBrains Junie.

⚠️ Note: Currently, the best environments in which to use this repository are Cursor, Cursor CLI, and Claude Code. If you use JetBrains IntelliJ IDEA, you can combine it with Cursor CLI or Claude Code. Further information is available in the latest review here (Last update: 2025/08/29).

Contribute

If you have great ideas, read the following document to contribute.

Examples

The repository includes a collection of examples where you can explore the possibilities of these system prompts designed for Java.

Architectural decision records, ADR

Changelog

Java JEPS from Java 8

Java uses JEPs as the vehicle to describe new features to be added to the language. The repository continuously reviews which JEPs could improve any of the cursor rules present in this repository.

Meetups, Conferences, Workshops & Articles

Codemotion / Madrid (2026/04/20)

W-JAX / Munich (2025/11/06 - 10:30 - 11:30)

Devoxx BE / Antwerp (2025/10/07 - 18:20 - 18:50)

Blogs

References

Cursor rules ecosystem

Powered by Cursor with ❤️ from Madrid