Bouncing ball app with Visual Studio to test mono on Linux

Bouncing ball app with Visual Studio to test mono on Linux

📺 Video Overview & Quick Summary

Welcome to this official DigiLiner tutorial and showcase guide. In this post, we break down the core techniques, workflows, software tools, and step-by-step procedures demonstrated in our video: “Bouncing ball app with Visual Studio to test mono on Linux”. Follow along below with the structured written instructions and practical tips.

💻 Technical Development & Architecture Guide

Modern cross-platform development allows developers to bridge cutting-edge frameworks with retro computing architectures, embedded hardware, and cross-compiled toolchains. This guide outlines the exact technical pipeline demonstrated in the video tutorial.

1. Toolchain & Environment Preparation

Before starting compilation, set up your development environment with the necessary SDKs and target cross-compilers:

  • Cross-Compiler / SDK: Configure the host environment (Free Pascal Compiler with m68k-amiga target or .NET Core SDK for Linux ARM64).
  • Target System & Runtime: Ensure the target runtime (Mono runtime on Linux, .NET 8 on Raspberry Pi OS, or an AmigaOS / UAE test environment) is configured with proper library search paths.
  • Build Script Automation: Establish automated deployment scripts to package binaries, transfer via SSH/SCP, and verify process execution.

2. Compilation & Deployment Steps

  1. Source Code Setup: Structure your project with clean separation between platform-agnostic business logic and platform-specific API bindings.
  2. Compiler Invocation: Execute the cross-compiler specifying target CPU architectures, memory models, and optimization flags.
  3. Binary Verification: Inspect generated executables, verify binary sizes and symbol exports, and confirm target compatibility.
  4. Deployment & Execution: Deploy the payload to the target device/emulator and test interactive loop timing, event handling, and memory footprint.

3. Performance & Optimization Considerations

When targeting constrained embedded hardware or classic computing architectures, keep memory allocations lean, avoid unnecessary dynamic heap churn inside tight event loops, and leverage direct OS library calls for optimal rendering throughput.


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