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You can generate hexagonal architecture code for Kotlin and Java by using a Skill that automates the Brainstorm, Plan, Implement, and Verify workflow to scaffold ports, adapters, and use-cases. It handles multi-module codebases, enforces architectural conventions, and reduces boilerplate for consistent feature delivery.

Scaffolding ports and adapters across multiple modules is handled by automated context loading and pre-flight checks during the implementation phase. The workflow generates concrete artifacts while navigating ambiguous requests through iterative discovery and planning loops to ensure architectural compliance.

Yes, hexagonal code generation supports dry-run execution and incremental verification with snapshot logging and progress tracking. Loop-controlled transitions from Discovery through Verify ensure that static analysis integration and AST-rule generation validate the generated code at each incremental step.

The best way to automate the brainstorm, plan, implement, and verify workflow is using a Skill that autonomously executes discovery and planning to deliver a ready-to-run feature scaffold. It handles ambiguity through iterative verification loops and enforces hexagonal architectural conventions automatically without manual boilerplate.

Yes, you can use automated code generation for ambiguous feature requests in a multi-module Kotlin or Java codebase. The workflow handles ambiguity through brainstorming, planning, and iterative verification loops across multiple modules and layers to deliver concrete implementation artifacts with built-in context loading.

You should avoid automated hexagonal architecture code generation if your project does not follow hexagonal patterns or requires manual control over architectural conventions. The workflow enforces specific ports and adapters structures, which may not suit projects outside multi-module Kotlin or Java hexagonal ecosystems.