What performance gains can I expect from Native AOT in .NET MAUI?

Developers typically see up to a 50% reduction in app bundle size and a 50% improvement in cold startup times on iOS and Mac Catalyst by eliminating the JIT compiler and IL assemblies.

Does this skill help with Android AOT compilation?

No, this skill focuses on the Native AOT pipeline for iOS/Catalyst. Android uses a different compilation model (Mono/AOT or CoreCLR in .NET 11) which is outside the current scope.

How can I detect AOT-incompatible code before publishing?

It guides you through enabling EnableAotAnalyzer and EnableTrimAnalyzer in your project file to surface IL3050 and IL2026 warnings during the development phase.

How do I handle third-party libraries that aren't AOT-compatible?

The skill provides patterns for using ILLink descriptor XML files to preserve types from trimming and recommends migrating to source-generator-based libraries like System.Text.Json or Mapperly.

Which versions of .NET support Native AOT for MAUI?

Native AOT for .NET MAUI is supported starting with the .NET 8.0 baseline, specifically for iOS and Mac Catalyst targets.

.NET MAUI Native AOT Optimizer

Name: .NET MAUI Native AOT Optimizer
Author: rudironsoni

byrudironsoni

0•

Mobile Development

Optimizes .NET MAUI applications for iOS and Mac Catalyst using Native AOT compilation to drastically reduce app size and boost startup performance.

This skill provides specialized technical guidance for implementing Native AOT (Ahead-of-Time) compilation within the .NET MAUI ecosystem, specifically targeting iOS and Mac Catalyst. It assists developers in configuring publish profiles, navigating the native compilation pipeline, and achieving up to 50% reductions in binary size and cold start times. By focusing on tree-shaking optimization, ILLink descriptors, and source generator alternatives, it helps resolve common library compatibility gaps and reflection issues that typically hinder AOT deployment.

主要功能

01Library compatibility analysis and resolution for reflection-heavy code

02Advanced trimming management using ILLink descriptors and DynamicDependency attributes

03Native AOT publish profile configuration for iOS and Mac Catalyst

04Migration guidance for source-generator-based serialization and DI

050 GitHub stars

06Startup performance instrumentation and measurement strategies

使用场景

01Reducing the binary footprint of .NET MAUI iOS apps to optimize App Store delivery

02Accelerating cold startup times for performance-critical Mac Catalyst desktop applications

03Troubleshooting IL3050 and IL2026 trimming warnings in enterprise .NET mobile projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rudironsoni/dotnet-harness-plugin dotnet-maui-aot

For use in Claude.ai and ChatGPT

主要功能

01Library compatibility analysis and resolution for reflection-heavy code

02Advanced trimming management using ILLink descriptors and DynamicDependency attributes

03Native AOT publish profile configuration for iOS and Mac Catalyst

04Migration guidance for source-generator-based serialization and DI

050 GitHub stars

06Startup performance instrumentation and measurement strategies

使用场景

01Reducing the binary footprint of .NET MAUI iOS apps to optimize App Store delivery

02Accelerating cold startup times for performance-critical Mac Catalyst desktop applications

03Troubleshooting IL3050 and IL2026 trimming warnings in enterprise .NET mobile projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rudironsoni/dotnet-harness-plugin dotnet-maui-aot

For use in Claude.ai and ChatGPT