Languages & Platforms
- Python
- C#
- .NET
- TypeScript
- JavaScript
- PowerShell
- Luau
FDS // TECHNICAL FOUNDATIONS
Technology in context
A stack matters because of what it enables. This map connects the major FDS systems to the languages, runtimes, engines, and technical areas actually used in their current repositories.
Where the technology is used
| System | Technologies / areas | Why they are there |
|---|---|---|
| CodeForge | TypeScript, Node.js, Electron, React, SQLite, Git, VS Code, model/provider APIs | Repository intelligence, autonomous task execution, desktop/CLI/editor surfaces, and free-first model routing. |
| GEMS / Training Grounds | Python, model post-training, evaluation, curriculum systems, CUDA/GPU environments | Specialization, teaching, held-out evaluation, checkpoints, and hardware-aware model research. |
| KyraBlox | C#, .NET 8, WPF, Luau/Roblox, C++/Unreal, engine plugins, local protocols | Project inspection, governed missions, engine integration, approvals, validation, and recovery. |
| ForgerEMS | C#, .NET, WPF, Windows APIs, PowerShell, USB and hardware interfaces | Technician diagnostics, drive validation, USB tooling, system information, and local-first assistance. |
| FDS Website | Astro, TypeScript, Vitest, Cloudflare Workers, GitHub Pages | Static public publishing plus the separately deployed Kayla site-guide runtime. |
CodeForge
Technologies / areas
TypeScript, Node.js, Electron, React, SQLite, Git, VS Code, model/provider APIs
Why they are there
Repository intelligence, autonomous task execution, desktop/CLI/editor surfaces, and free-first model routing.
GEMS / Training Grounds
Technologies / areas
Python, model post-training, evaluation, curriculum systems, CUDA/GPU environments
Why they are there
Specialization, teaching, held-out evaluation, checkpoints, and hardware-aware model research.
KyraBlox
Technologies / areas
C#, .NET 8, WPF, Luau/Roblox, C++/Unreal, engine plugins, local protocols
Why they are there
Project inspection, governed missions, engine integration, approvals, validation, and recovery.
ForgerEMS
Technologies / areas
C#, .NET, WPF, Windows APIs, PowerShell, USB and hardware interfaces
Why they are there
Technician diagnostics, drive validation, USB tooling, system information, and local-first assistance.
FDS Website
Technologies / areas
Astro, TypeScript, Vitest, Cloudflare Workers, GitHub Pages
Why they are there
Static public publishing plus the separately deployed Kayla site-guide runtime.
Active foundations
The grouped technical areas behind the systems above — context, not an inventory to rank.
AI & Intelligence
Model learning, agent execution, and evaluation areas used where a project requires them.
- Custom AI Research
- Model Training
- Evaluation Systems
- Curriculum Systems
- Agentic Systems
- Context Learning
- Adaptive Compute
Compute & Environments
Environments used for experiments and workloads. Use of a provider does not imply partnership.
- NVIDIA CUDA
- AWS
- Modal
- Lightning AI
- Kaggle / TPU
- Local GPU systems
Development Environments & Engines
Engines and environments explored where appropriate for FDS projects.
- Roblox
- Unreal Engine
- Unity
- Godot
Product and platform names belong to their respective owners. A name here indicates use or investigation—not endorsement, sponsorship, certification, or partnership. Planned integrations are not treated as current support.