Migrating mature PHP applications to Java can be complex due to embedded business rules in various PHP frameworks. A new methodology aims to make this process repeatable and measurable using Kiro, an AI integrated development environment (IDE). This approach focuses on creating a structurally similar Java port that maintains the original application's behavior.
Kiro pairs an AI agent with a codebase to execute multi-step engineering tasks. The migration engine consists of a shared methodology, a mechanical discovery scanner, and an eight-phase workflow. This engine uses the original PHP application as the specification and validates the Java port for functional parity.
Users need familiarity with PHP frameworks like Laravel/Eloquent or Symfony/Doctrine. While Java knowledge (Spring Boot, JPA) is helpful for reviewing output, the engine generates idiomatic Java. Required tools include PHP 8.0+, Java 21 with Maven, and a Kiro workspace with access to Skills and Steering files. A basic understanding of migration planning (discovery, translation, validation) is also necessary.
The migration methodology and discovery scanner workflow are encoded as versioned Markdown capability packages, called skill files. This allows the same methodology to be run in multiple ways. One method involves using Kiro interactively, where the AI agent guides the migration step by step within the editor.
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A new methodology uses the Kiro AI integrated development environment (IDE) to create a repeatable process for migrating PHP applications to Java. This approach involves a reusable engine with a discovery scanner and an eight-phase workflow, treating the original PHP application as the specification for the Java port. The process aims to ensure functional parity between the migrated applications.