The living, breathing brain of HyperCode β a neurodivergent-friendly programming language that resurrects forgotten wisdom, embraces AI-native design, and builds for the quantum/DNA future.
This repository is THE definitive research archive for HyperCode development. It's not a static documentation site β it's a living research ecosystem that:
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Auto-updates daily with AI research agents
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Tracks every discovery (forgotten languages, AI patterns, quantum concepts)
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Visualizes connections through knowledge graphs
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Guides development (research β design decisions β code)
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Welcomes contributors (open, collaborative, professional)
We dig into ancient, forgotten languages like PlankalkΓΌl and esoteric beasts like Befunge β bringing their raw, creative power into the future.
HyperCode is designed to THINK LIKE US β dyslexic, ADHD, autistic brains. Spatial logic, minimal noise, accessible visuals, zero barriers.
Works with ANY major AI system β GPT, Claude, Mistral, Ollama β without costly rewrites. One codebase, all AI power.
Auto-updates daily, powered by AI research agents and knowledge graphs. Never goes stale.
Built from day one with industry-grade DevOps, CI/CD, automated quality checks, versioning, and community contributions.
Resurrecting revolutionary ideas from programming history:
- PlankalkΓΌl β World's first high-level language (1942-1948)
- Befunge β 2D spatial programming (1993)
- Malbolge, INTERCAL, Loglan'82 (coming soon)
Key Insight: 2D code layout reduces cognitive load. Spatial programming fits neurodivergent thinking.
Modern patterns for AI-native development:
- Multi-agent orchestration (Supervisor, Adaptive, Custom)
- LLM backend integration (GPT, Claude, Ollama)
- Hybrid language stacks (Python + Rust + TypeScript)
Key Insight: Universal AI compatibility is non-negotiable. Build it in from day one.
Next-generation computing paradigms:
- Quantum languages (Qiskit, Q#, Silq, Qrisp)
- DNA logic gates and chemical reaction networks
- Reversible computation primitives
Key Insight: Future-proof abstractions matter. Design for quantum/DNA readiness now.
Accessibility and cognitive load optimization:
- Cognitive Load Theory in programming
- Visual programming (Scratch, Blockly)
- Spatial code navigation (SnapNCode)
- Accessible error messages
Key Insight: Programming languages should fit how brains think, not force brains to adapt.
Design decisions, syntax proposals, and implementation roadmap:
- Development Roadmap
- Syntax specifications (coming soon)
- 2D editor design (coming soon)
- AI integration layer (coming soon)
git clone https://github.com/welshDog/hypercode-research.git
cd hypercode-researchExplore docs/ for all research entries, organized by category.
- Fork this repository
- Create a new research entry using the template
- Add proper citations and links
- Submit a pull request
See CONTRIBUTING.md for detailed guidelines.
pip install -r scripts/requirements.txt
python scripts/ai-researcher.py # Daily research agent
python scripts/knowledge-graph.py # Generate visual connectionsCurrent Phase: π Foundation (Week 1/4)
Research Entries: 10+
Contributors: 1 (you can be next!)
Last AI Update: 2025-11-22
- GitHub repository created
- Folder structure established
- Initial research imported (PlankalkΓΌl, Befunge)
- Contribution guidelines written
- AI research agent built
- Knowledge graph generated
- Community launched
See the full roadmap for details.
We welcome contributions from:
- π¬ Researchers (language design, cognitive science, accessibility)
- π» Developers (prototypes, tooling, automation)
- π¨ Designers (visual editors, UX patterns)
- π Writers (documentation, tutorials, blog posts)
- π§ Neurodivergent folks (lived experience, user testing)
Ways to Contribute:
- Add research entries (forgotten languages, AI patterns, etc.)
- Build prototypes (2D editor, AI integration demos)
- Improve automation (AI agents, link checkers)
- Write tutorials (explain concepts clearly)
- Test with neurodivergent developers (usability feedback)
- GitHub Discussions: Start a conversation
- Issues: Report bugs or request research
- Discord: (coming soon)
- Twitter/X: (coming soon)
If you use this research in academic work, please cite:
@misc{hypercode_research,
author = {Williams, Lyndon (welshDog)},
title = {HyperCode Research Database: A Living Archive for Neurodivergent-First Programming Language Design},
year = {2025},
publisher = {GitHub},
url = {https://github.com/welshDog/hypercode-research}
}MIT License. See LICENSE for details.
Research papers and external content retain their original licenses. All citations properly attributed.
Programming languages are more than syntax. They are an expression of how minds think.
- For neurodivergent coders, typical languages often don't fit brain patterns.
- For AI-powered code, static language design is outdated.
- Forgotten languages carry experimental truth that mainstream missed.
- Making programming accessible is not optional β it's essential for innovation and inclusion.
If you believe in neurodivergent-first programming, accessible code, and resurrecting forgotten genius β give us a star! β
Stars help us reach more contributors and show the world that this matters.
Built with π by neurodivergent coders, for neurodivergent coders, and everyone who believes programming should be accessible to all minds.
π The future of code starts here. π
HyperCode Research is committed to being accessible to everyone:
- π Screen reader compatible research documents
- β¨οΈ Keyboard-first navigation
- π¨ High contrast code samples
- π§ Neurodivergent-friendly structure and language
- π Clear, plain language - research without jargon overload
- π Visual aids - diagrams, graphs, and knowledge maps
Need accommodations? Open an accessibility issue
This is a living research database built for and with the neurodivergent community.
- π Report an Issue
- π‘ Suggest Research
- β Ask a Question
- π Share a Discovery
- π Contribute Research
- β€οΈ Join Discussions
Your research shapes HyperCode. Every forgotten language matters. Every neurodivergent perspective counts. Let's build the future of accessible programming together.
Made with π by neurodivergent researchers, for neurodivergent developers
MIT License | Contributing Guide | Main HyperCode Repo
HyperCode Research: Where forgotten wisdom meets future innovation