Key points
- Kiro acts as an AI IDE agent for interactive, developer-in-the-loop PHP-to-Java migration.
- AWS Transform integrates natively with Kiro to run the same skill files at portfolio scale.
- The methodology uses a parity harness to verify Java ports against original PHP specifications.
AWS Machine Learning published a technical advisory outlining a repeatable engineering process for migrating mature PHP applications to Java using the Kiro AI integrated development environment.confirmed The post details a reusable engine that treats the original PHP codebase as the strict specification for the new Java port.
The announcement
The advisory describes a mechanical discovery scanner and an eight-phase workflow designed to ensure behavioral parity. Kiro pairs an AI agent with the codebase to execute multi-step engineering tasks while keeping developers in the loop. The system refuses to declare a Java port correct until a parity harness verifies it matches the original application's behavior.
The context
PHP applications built with frameworks like Laravel or Symfony often hide business rules in non-obvious places, such as Eloquent traits or XML mapping files. A structurally similar Java port might compile cleanly but behave differently. The new engine addresses this by encoding the migration methodology into versioned Markdown capability packages called skill files, which live in the repository rather than inside a specific tool.
What the evidence means
Because the knowledge resides in files, teams can run the same methodology in two distinct ways. Kiro provides an interactive mode where developers review discovery manifests and approve rulebooks at explicit gates. AWS Transform offers an agentic mode for large-scale modernization, running the same skill files autonomously across multiple applications. Both paths share a feedback loop, so fixes made in one improve the other.
The evidence for product
Users need a Kiro workspace with access to Skills and Steering files. The local machine requires PHP 8.0 or newer for the discovery scanner, plus Java 21 with Maven for generating Spring Boot projects.reported Familiarity with PHP frameworks helps, but the engine produces idiomatic Java automatically. Teams start by cloning an open repository to run the engine themselves, allowing them to test the methodology on a single application before scaling.
Why it matters
- Enterprise IT buyers can migrate legacy PHP apps without manually rewriting code, relying on AI-generated idiomatic Java.
- The parity harness provides a measurable verification step, reducing the risk of behavioral drift during migration.
- Skill files allow organizations to standardize migration methodology across both interactive and autonomous workflows.
- Integration with AWS Transform enables scaling the process from single applications to entire portfolios.
Topics: AWS, Kiro, PHP, Java, Migration
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AWS Machine Learning published a technical advisory outlining a repeatable engineering process for migrating mature PHP applications to Java using the Kiro AI integrated development environment.
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What are the system requirements for running the migration engine?
You need PHP 8.0 or newer for the scanner and Java 21 with Maven for the generated Spring Boot projects.
Can I use this process without knowing Java?
The engine produces idiomatic Java automatically, so you do not need to rewrite the application yourself.
How does AWS Transform differ from using Kiro directly?
Kiro handles one application interactively, while AWS Transform runs many applications as parallel autonomous jobs.
Reading receipt
- Kiro acts as an AI IDE agent for interactive, developer-in-the-loop PHP-to-Java migration.
- AWS Transform integrates natively with Kiro to run the same skill files at portfolio scale.
- The methodology uses a parity harness to verify Java ports against original PHP specifications.