HVE Core in the Wild: Projects Built with This Framework

[WilliamBerryiii]

HVE Core started as a way to bring structure to AI-assisted engineering across our team. As the framework matured, we began using it to ship real projects, and two of them are now publicly available. We wanted to share what that looks like in practice.

microsoft/edge-ai
The edge-ai repository contains our team's AI engineering work targeting edge computing scenarios. This project adopted HVE Core's instruction inheritance system early, using pattern-matched coding guidelines to keep Copilot outputs consistent across C#, Python, Bash, and Bicep files in the same repo. Several of the instruction sets and prompts that now ship with HVE Core originated here, including the git workflow prompts and bash scripting guidelines. If you're working on multi-language projects with AI assistance, edge-ai is a good reference for how instruction layering works at scale.

Azure NVIDIA Robotics Reference Architecture
The Azure NVIDIA Robotics Reference Architecture is a reference implementation for deploying robotics workloads on Azure with NVIDIA hardware acceleration. The architecture spans infrastructure-as-code, application services, and device integration, touching many languages and contributor workflows. HVE Core's RPI methodology (Research, Plan, Implement) helped the team separate investigation from implementation when making cross-cutting changes. The constraint-based approach prevented AI from generating plausible-looking code that silently broke integration points between services.

The Common Thread
Both projects span multiple services, languages, and contributors. Instruction inheritance kept AI-generated code aligned with each project's conventions without requiring contributors to memorize every guideline. The RPI workflow gave the team confidence that complex, multi-file changes were grounded in verified context rather than AI assumptions.

Your Turn
Are you using HVE Core in your projects? We'd love to hear what's working, what's not, and what you've built. Drop a comment below or open a new discussion thread with your experience.

If you're exploring HVE Core for the first time, the Getting Started guide covers installation and your first RPI workflow in about 15 minutes.