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Java Backend Coding Technology presents a unified methodology for writing backend code that eliminates architectural debates, minimizes technical debt, and enables seamless collaboration between developers and AI coding assistants.

At its core, JBCT replaces subjective \"best practices\" with five objective evaluation criteria: mental overhead, business/technical ratio, design impact, reliability, and complexity. Every pattern in this book has been selected because it scores highest across these dimensions -- not because it feels right or looks clean.

You will learn:

- The four return types (T, Option, Result, Promise) and why they are all you need

- Parse, don't validate -- making invalid states unrepresentable through value objects

- Typed error handling that eliminates exception spaghetti

- Six structural patterns (Leaf, Sequencer, Fork-Join, Condition, Iteration, Aspects) that cover every use case

- Pragmatica Lite Core -- a zero-dependency library providing the foundational types

- Migration strategies for adopting JBCT in existing codebases

The methodology is designed for the AI era. When the mapping from requirements to code becomes mechanical, AI assistants generate consistent implementations. When structure is predictable, humans read AI-generated code without guessing about hidden assumptions. Code becomes a shared language rather than a personal dialect.

This book includes 19 chapters progressing from foundations to complete worked examples, plus appendices with API reference, exercises, and a glossary. Whether you are starting a new project or evolving an existing one, JBCT provides the patterns and practices to write code that is unified, testable, and built to last.

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