惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Google DeepMind News
Google DeepMind News
爱范儿
爱范儿
J
Java Code Geeks
L
LangChain Blog
V
V2EX
大猫的无限游戏
大猫的无限游戏
S
SegmentFault 最新的问题
博客园 - Franky
Microsoft Azure Blog
Microsoft Azure Blog
Jina AI
Jina AI
Blog — PlanetScale
Blog — PlanetScale
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
The Cloudflare Blog
博客园 - 司徒正美
B
Blog
G
Google Developers Blog
Stack Overflow Blog
Stack Overflow Blog
罗磊的独立博客
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Apple Machine Learning Research
Apple Machine Learning Research
Engineering at Meta
Engineering at Meta
MyScale Blog
MyScale Blog
有赞技术团队
有赞技术团队
Hugging Face - Blog
Hugging Face - Blog

Hacker News

Probed — Talk to Your People HN Work GitHub - Northwood-Systems/foreman: Self-hosted LLM gateway. Cost effective, deterministic, and fast. Secure and private by default. A Visualization Language for the AI Era NoCrap — Neuroscience-Based Recovery Pods GitHub - weirdGuy/kastor: Declarative language and toolchain for AI agents: define agents, tools and prompts in HCL, then compile to frameworks or manage them on hosted platforms with plan/apply semantics. Abralo - Run multiple Claude Code agents in one window GitHub - mehranzand/repofleet: RepoFleet is an issue-centered CLI tool for managing Git workflows across multiple repositories. GitHub - exmergo/dex: Dex is the agent-native analytics engineering toolkit. Point it at your warehouse and your dbt project. It learns the landscape, authors your transformations, and tells you exactly what to fix when the schema drifts. Built for analytics engineers and data engineers who want more out of their coding agent. Pug — Open Source Product Analytics GitHub - instavm/tarit: A hypervisor and sandbox cloud for self-hosted AI agents and RL Chiptune Radio — Aleph Void, LLC Free Mermaid Live Editor & Diagram Maker GitHub - Salnika/dejavu: Stop showing coding agents the same command output twice. GitHub - hirasso/html-obfuscator: Obfuscate emails, phone numbers, and other sensitive data in PHP. Invisible to humans, hidden from bots until they interact. Davit — a native macOS UI for Apple containers Fenzo AI - The perfect course, every time. HTML Drive — Edit and Publish HTML from Google Drive GitHub - rowboatlabs/rowboat: Open-source AI coworker, with memory ZeroGate | Automated Cluster Scaling A tiny scale-free kernel language — Joa Ebert GitHub - arman-jalili/guardian-framework: Architecture Enforcement Framework for AI-Assisted Development PostgreSQL on AWS: Size & Benchmark EC2 Instances GitHub - zqiren/Orbital: the agent that never starts from zero GitHub - Rodiun/frugon: Free, local, open-source LLM cost analyzer — see where your LLM bill leaks, on your machine. Artificiety — A Fantasy World for AI Agents Ex Situ FlexInference: Drop your AI costs today WhimFiles - Find Any File in Seconds GitHub - josephsenior/Grinta-Coding-Agent: Local-first autonomous coding agent that plans, executes, validates, and finishes software tasks end-to-end.
GitHub - ArcadeMakerSources/ArcadeMaker: A 2D Game Engine...
am-gm · 2026-05-25 · via Hacker News
rbr_ss4 rbr_ss22 rbr_ss3 rbr_ss1

Video of an example game made with the engine

ArcadeMaker is a simple 2D cross‑platform game engine that includes its own programming language (its prototype is called Exp) and an integrated IDE.
The engine and IDE themselves are written in C#, but the language you use inside ArcadeMaker to program your games is my custom language, not C#.

Currently, the graphics and audio backend is powered by MonoGame, which allows exporting to desktop, mobile, and consoles. I’m also planning to add a KNI-engine implementation to enable web support.

This project is not finished yet.
But since I have very little time to work on it, I decided to open‑source it in the hope that others will find it interesting and help turn it into something real.

ArcadeMaker is based on GameMaker 8, so if you’ve ever used it, you’ll find it very easy to learn.


Project Background

ArcadeMaker has been built in several stages over the span of a few years, and different parts of it were written at very different points in my programming journey.

  • The IDE was written about three years ago, when my programming skills were very different from what they are today.
  • The Exp language was created after the IDE, but still before the current core engine and before the MonoGame implementation existed.

Originally, ArcadeMaker started as a C#‑based engine where users wrote their game logic directly in C#. After leaving the project for a while, I eventually created my own programming language and decided to return to ArcadeMaker — replacing the old C# scripting layer with my language and rewriting the core engine around it.

Because of this long, staggered development history, the IDE currently includes many features that the new engine backend does not yet support. For example:

  • Parent objects — supported in the IDE, not yet implemented in the engine.
  • Dll package manager - exists in the IDE, but currently has no any effect (it had when the engine used C# for scripting).

The long‑term goal is to bring the new engine up to feature parity with the old C# version — and then expand far beyond it.


Planned Features

  • Full implementation of the missing IDE features in the engine
  • KNI-engine backend for web export
  • A more complete and stable version of the Exp language
  • Implementing all the common, daily‑use game functions such as drawRect(), deactivateInstancesInRegion(), setRoomWidth(), and many more
  • Cross‑platform templates for mobile and console builds
  • Documentation, tutorials, and example projects

Why Open Source?

I love working on ArcadeMaker, but I don’t have enough time to develop it at the pace it deserves.
By open‑sourcing it, I hope others will:

  • Experiment with the engine
  • Improve the language and tooling
  • Add missing features
  • Fix bugs
  • Help shape the future of the project

If you enjoy GameMaker‑style workflows or want to contribute to a lightweight, beginner‑friendly 2D engine, you’re more than welcome to join.


How to Build

  1. Clone the repository.
  2. Open the solution in your preferred C# IDE (Visual Studio, Rider, or VS Code).
  3. Restore NuGet packages.
  4. Build the project.
  5. Run the IDE project to start ArcadeMaker.
  6. (Optionally) - After the IDE is loaded, go to "File -> Open Project" to load an example project from "tests/Example Projects".

Contributing

Contributions of all kinds are appreciated:

  • Code improvements
  • Bug fixes
  • Documentation
  • Feature proposals
  • Engine backend implementations
  • Language design ideas

Before submitting a pull request, please open an issue to discuss your idea. Currently I'm only one dev working on this project alone in my free time, so documentation is really, really missing. I'll try do my best to improve it, but please feel free to ask any question you have about anything related to the project, I'll answer to anything!


License

This project is licensed under the MIT License.
See the LICENSE file for details.


Note About This README and AI Usage

I used GPT to help write this README file.

And since AI is mentioned, a few words about it:
This project contains almost 0% AI‑generated code or architecture. The only exception is that I used Claude to write the Separating Axis Theorem formulas for collision detection, because that math is a bit too heavy for me. Other than that, everything — the engine, the IDE, the language, the architecture — is hand‑written.

Not because there’s anything wrong with using AI as a programming tool. I know it’s a huge part of the future of software development.
It’s just that I built this project for fun and for the challenge, and personally I enjoy writing the code myself rather than having a machine do it for me.

In the era of AI and its growing power, I still believe a complete version of this project could be genuinely useful. ArcadeMaker is a beginner‑friendly engine, and people will always need to understand how code works, even if they eventually stop writing every line by hand. The only real way to learn that is by actually writing code.
And beyond learning, this engine can also be a great tool for anyone who simply wants to make games for fun, by themselves, without relying on AI to do all the work.