Java Backend Coding Technology (JBCT)
Designs, implements, and reviews functional Java backend code using a structured methodology for predictable and testable applications.
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Key features
- Defines six structural patterns for code organization (Leaf, Sequencer, Fork-Join, etc.).
- Provides quick reference for core types like Result, Option, and Promise.
- Enforces thread safety by design through immutability and thread confinement.
- Establishes strict naming conventions and a vertical slice project structure.
- Guidance on functional patterns like 'Parse, Don't Validate' and monadic composition.
Use cases
- Designing a new Java backend service using functional principles.
- Refactoring an existing Java application to improve testability and error handling.
- Reviewing code for compliance with JBCT patterns and best practices.
FAQ
What core capabilities does it provide?
The skill provides expert guidance on key functional patterns like 'Parse, Don't Validate', defines six structural patterns for code organization, enforces thread safety by design through immutability, and offers a quick reference for core monadic types and validation utilities.
What is the Java Backend Coding Technology (JBCT) skill?
JBCT is a specialized Claude skill that provides a structured methodology for writing predictable, testable, and thread-safe functional Java backend code. It establishes clear patterns and conventions to optimize collaboration between developers and AI.
When should I use this skill?
Activate this skill when you are implementing or reviewing Java backend code, especially when dealing with functional concepts like `Result`, `Option`, and `Promise` types, monadic composition, or specific JBCT structural patterns (e.g., Sequencer, Fork-Join).
How does this skill improve my workflow?
It improves your workflow by reducing decision fatigue with a 'one good way' philosophy for code structure and error handling. It also provides specialized subagents (`jbct-coder`, `jbct-reviewer`) and a CLI tool to automate formatting and linting, ensuring consistent, high-quality code.
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