graalvm

Optimize GraalVM Native Image AOT compilation for Kotlin Ktor applications.

1|Updated Mar 14, 2026

Search Tags:#performance #graalvm #kotlin #jvm #ktor #native-image

Ready to run

npx skills add https://github.com/agnaldo4j/kanban-vision-api-kt --skill graalvm

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Please help me install this Agent Skill.
Skill: graalvm
Source: https://github.com/agnaldo4j/kanban-vision-api-kt/tree/main/.claude/skills/graalvm
Command: npx skills add https://github.com/agnaldo4j/kanban-vision-api-kt --skill graalvm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured framework for managing the transition from JVM-based development to GraalVM Native Image production deployments, ensuring architectural consistency and performance optimization.

Core Features & Use Cases

Native Image Guidance: Provides decision-making support for JIT vs. AOT compilation strategies and reachability metadata configuration.
Performance Tuning: Offers a standardized methodology for PGO (Profile-Guided Optimization) and garbage collector selection based on production-measured baselines.
Use Case: Use this skill when preparing a new production release to validate that your Ktor application's native binary is correctly configured for memory constraints and that all reflection-heavy dependencies are properly registered.

Quick Start

Use the graalvm skill to evaluate the current native-image reachability metadata for the http_api module.

Frequently Asked Questions about graalvm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I configure GraalVM native-image reachability metadata for a Kotlin Ktor application?▼

Configuring native-image reachability metadata for Kotlin Ktor involves registering reflection-heavy dependencies during the AOT compilation lifecycle to ensure production-grade architectural consistency and runtime compliance.

What is the best way to tune garbage collection and performance for GraalVM native-image binaries?▼

Tuning garbage collection and performance for GraalVM native-image binaries requires applying a standardized methodology for PGO (Profile-Guided Optimization) and selecting garbage collectors based on production-measured baselines.

When do I need to use GraalVM native-image AOT compilation instead of standard JIT for production deployments?▼

You need GraalVM native-image AOT compilation instead of JIT when transitioning JVM-based development to production deployments that demand strict architectural consistency, memory constraint validation, and optimized startup performance.

How do I generate and apply PGO profiling data when building native binaries with GraalVM?▼

Generating and applying PGO profiling data with GraalVM involves executing profile-guided optimization runs to collect production-measured baselines, which are then used to tune the native binary's runtime garbage collection and overall performance.

Does GraalVM native-image work with Kotlin and Ktor frameworks for production releases?▼

Yes, GraalVM native-image works with Kotlin and Ktor by supporting the full lifecycle of AOT compilation, ensuring your native binary is correctly configured for memory constraints and reflection registration during production releases.

Why does my GraalVM native build fail with missing reflection metadata for dependencies?▼

GraalVM native builds fail with missing reflection metadata when reflection-heavy dependencies are not properly registered in the reachability metadata configuration, breaking the architectural compliance required for the AOT compilation lifecycle.