TAtactics6655·Dec 4, 2025Submission
Show HN: Onetone – A full-stack framework with custom C interpreter
Hey HN,
I've been working on Onetone Framework for the past few years and finally releasing it as open source (AGPL 3.0).
*What is it?*
Onetone is an ambitious full-stack development framework that includes:
- Custom C interpreter with its own scripting language (.otc files)
- 27,000+ line OpenGL 3D graphics engine with PBR materials, skeletal animation, physics, and particle systems
- PHP web framework with MVC architecture
- Python utilities and tooling
- 716,000+ lines of code across 17 programming languages
*The scripting language features:*
- Classes, inheritance, generators, async/await
- Records, enums, pattern matching
- Built-in collections (ArrayList, HashMap, HashSet, TreeMap, etc.)
- Template strings, destructuring, spread operators
- Native bindings for OpenGL, Windows API, audio, networking
*Why build this?*
I run a game loc
Read the rest
alization and needed a unified toolset for:
- Visual novel engines
- Translation management tools
- Quick prototyping with native performance
Instead of gluing together multiple languages and frameworks, I built one cohesive system.
*Current status:*
- Windows-focused (uses WinAPI extensively)
- Some features still in development (generators, full async support)
- Documentation is a work in progress
GitHub: https://github.com/onetoneframework/framework
Would love feedback from the community.
*Roadmap & Vision*
My goal is to evolve Onetone's scripting language to reach Python-level usability and ecosystem richness. I want developers to be able to pick it up as easily as Python while retaining native performance.
*A note on development process*
I want to be transparent: this project was developed with significant assistance from Claude (Anthropic's LLM). The codebase is a mix of hand-written code and LLM-generated code, with me directing the architecture, debugging, and integration.
I found this workflow surprisingly effective for a project of this scale – the LLM helped with boilerplate, documentation, and exploring implementation approaches, while I focused on design decisions and fixing the subtle bugs that AI still struggles with.
Whether you see this as "cheating" or the future of development, I think it's worth discussing. The 700K+ lines wouldn't exist without this collaboration, and I'm curious how others feel about AI-assisted open source projects.
There were many errors and strange bits of code produced by the LLM, and I spent a lot of time tracking down memory leaks; in fact, there isn’t a single piece of LLM-generated code that I didn’t end up modifying. I still think "vibe coding" has a number of issues.