AI Prompt Generator for Java

Task

640 characters

Output style
2,039 characters~510 tokens (rough estimate — varies by model)

    Processed entirely in your browser — nothing is sent to a server.

    Java’s own version history changes what a correct answer looks like more than most languages’. Records — compact, immutable data carriers — were finalized in Java 16; sealed classes, which restrict which other classes may extend or implement a type, in Java 17; pattern matching for switch and virtual threads (lightweight, JVM-managed threads for high-throughput I/O-bound code) both in Java 21. Java 25, released in September 2025, is the current LTS release. An assistant asked to refactor or write code with no version specified has no way to know whether any of those are actually usable — it either avoids them entirely (missing a genuine improvement available on your version) or suggests one that won’t compile on an older runtime, and it can’t tell which mistake it’s making without being told.

    The same gap shows up around Spring. Spring Boot 2.x builds on the javax.* package namespace for the Jakarta specifications (persistence, validation, servlets); Spring Boot 3.x and later moved to jakarta.* for the same APIs, and Spring Boot 4 continues on jakarta.* under Jakarta EE 11 with a Java 17 baseline. The two namespaces are not interchangeable — code written against one will not compile against the other — and an assistant told only “Spring Boot,” with no version, will guess, sometimes mixing both namespaces in the same generated file. Naming the framework version turns that guess into a fact.

    Testing has its own version split. JUnit 4’s API lives under org.junit (@Test, @Before, @RunWith); JUnit 5 and 6 use the Jupiter API under org.junit.jupiter.api (@Test, @BeforeEach, @ExtendWith) — different packages, different annotation names, and not designed to be mixed in one test class. An assistant with no stated test framework has no reason to prefer one over the other, and will sometimes import from both in the same generated file, which fails to compile rather than merely running the “wrong” style of test. The same applies to a mocking library: told to “mock the repository” with no library specified, an assistant might reach for Mockito syntax, EasyMock syntax, or a hand-written stub, inconsistently, prompt to prompt.

    Framework choice also changes what a code review should actually look for. A Spring Boot or Jakarta EE project built on JPA has two review concerns that don’t apply to plain Java: transaction boundaries (whether @Transactional sits on the right method, with the right propagation) and the N+1 query pattern, where a loop over a parent entity triggers one additional query per child row instead of a single joined fetch. Neither shows up in code that isn’t using a JPA-backed framework, so a generic “review this code” prompt has no way to know to look for them — which is why this tool’s own code-review guidance only adds those two checks when a Spring Boot or Jakarta EE framework is actually selected.

    This page pre-fills the form with a small, realistic Java example so the effect is visible immediately: a DiscountCalculator class with one method, apply(BigDecimal price, int percent), that validates both arguments and returns the discounted price rounded half-up to two decimal places — a normal case, two argument-validation edge cases, and a rounding behavior, which is exactly the shape a “write tests” prompt needs to produce boundary-value test cases rather than a single happy-path test. With Java 21, no framework, Maven, and JUnit 5 selected, the assistant is told precisely which test API to use and precisely which language-version features are safe to reach for — removing both kinds of guesswork the generic prompt below has no way to resolve on its own.

    Frequently asked questions

    Why does an AI assistant sometimes generate JUnit 4-style tests for a modern Java project?
    Because nothing in the prompt told it otherwise. JUnit 4's API (org.junit.Test, org.junit.Before) and JUnit 5/6's Jupiter API (org.junit.jupiter.api.Test, org.junit.jupiter.api.BeforeEach) are different packages with different annotation names — an assistant with no test-framework context has no signal for which one a project actually uses, and both are common enough in its training data that it can default to either, or mix the two in the same file (a JUnit 5 test class with a JUnit 4 @Test import is a real, if common, generated-code bug that simply won't compile). Stating the test framework up front removes the guess entirely.
    Do I need to specify the exact Spring Boot version, or is "Spring Boot" enough?
    Specify the major version if you know it. Spring Boot 2.x uses the javax.* namespace; Spring Boot 3.x and later use jakarta.* for the same APIs (Jakarta Persistence, Jakarta Validation, and so on) — the classes are functionally similar but the import paths are not interchangeable, and code written against one namespace will not compile against the other. "Spring Boot" alone doesn't tell an assistant which side of that migration your project is on.
    What's the actual difference between javax and jakarta, and why does it matter here?
    They're the same set of enterprise Java specifications (persistence, validation, servlets, and so on) under two different package roots, the result of Oracle transferring Java EE to the Eclipse Foundation, which could not keep using the javax trademark. Spring Boot 3.0 completed the move to jakarta.*, and Spring Boot 4 continues on jakarta.* under Jakarta EE 11, with a Java 17 baseline. An assistant told only "Spring Boot" has a roughly even chance of picking the wrong namespace for your actual version; this tool's Framework field removes that ambiguity from the generated prompt.
    I'm writing Kotlin, not Java — should I use this page?
    Use the main AI Coding Prompt Generator page instead, with Language set to "Other" and the name typed in as Kotlin. This page's Java-specific fields (JVM version, javax/jakarta-era framework choice, JUnit generation) don't apply to Kotlin's own tooling and idioms, and the generic "Other" profile is intentionally language-agnostic rather than guessing at Kotlin conventions it can't verify.
    What if my project targets an older Java version, like Java 8 or 11?
    Select it in the Java version field — the generated prompt states it plainly, and the assistant is explicitly told to use only language features available in that version. This matters most for refactor and write-tests prompts: records need Java 16+, sealed classes need Java 17+, and virtual threads and pattern matching for switch both need Java 21+, so a prompt with no version stated can come back suggesting a feature your build won't even compile.

    Related AI Coding Prompt Generator pages

    Looking for a different pair or algorithm? Here are the other specific versions, plus the general tool for everything else: