| title | description | author | ms.date | ms.topic | keywords | estimated_reading_time | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HVE Core |
Open-source library of Hypervelocity Engineering components that accelerates Azure solution development |
Microsoft |
2025-11-05 |
overview |
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2 |
An open-source library of Hypervelocity Engineering components that accelerates Azure solution development by enabling advanced conversational workflows.
Quick Install: Automated installation via the hve-core-installer agent in VS Code (~30 seconds)
HVE Core provides a unified set of optimized GitHub Copilot and Microsoft 365 Copilot chat modes, along with curated instructions and prompt templates, to deliver intelligent, context-aware interactions for building solutions on Azure. Whether you're tackling greenfield projects or modernizing existing systems, HVE Core reduces time-to-value and simplifies complex engineering tasks.
Recommended for most users: Install HVE Core directly from the VS Code Marketplace for zero-configuration setup:
See Extension Installation Guide for details.
For customization or team version control, use the hve-core-installer agent:
After installing the agent:
- Open GitHub Copilot Chat in VS Code (Ctrl+Alt+I)
- Select
hve-core-installerfrom the agent list - Enter: "Install HVE Core into my project"
- Follow the guided installation
The installer will:
- Clone the hve-core repository as a sibling to your workspace
- Validate the repository structure
- Update your VS Code settings.json with chat mode, prompt, and instruction paths
- Make all HVE Core components immediately available
For manual setup or alternative installation methods, see the Getting Started Guide which covers:
- VS Code Extension ⭐ - Marketplace install, zero config
- Multi-Root Workspace - Cross-environment portability
- Submodule - Team version control
- Peer Clone - Local VS Code, solo developers
- Git-Ignored Clone - Devcontainer ephemeral setup
- Mounted Directory - Advanced container sharing
- GitHub Codespaces - Cloud development
- GitHub Copilot subscription
- VS Code with GitHub Copilot extension
- Git installed and available in PATH
- Node.js and npm (for development and validation)
AI coding assistants are brilliant at simple tasks. Ask for a function that reverses a string, and you'll get working code in seconds. Ask for a feature that touches twelve files across three services, and you'll get something that looks right, compiles cleanly, and breaks everything it touches.
The root cause: AI can't tell the difference between investigating and implementing. When you ask for code, it writes code. It doesn't stop to verify that the patterns it chose match your existing modules. AI generally writes first and thinks never.
HVE Core's RPI (Research → Plan → Implement) framework solves this by separating concerns into distinct phases. When AI knows it cannot implement during research, it stops optimizing for "plausible code" and starts optimizing for "verified truth." The constraint changes the goal.
Get started with RPI:
- Why the RPI Workflow Works: the psychology behind constraint-based AI workflows
- Your First RPI Workflow: 15-minute hands-on tutorial
- rpi-agent: autonomous mode for simpler tasks that don't need strict phase separation
| Component | Description | Documentation |
|---|---|---|
| Chat Modes | Specialized AI assistants for research, planning, and implementation | Chat Modes |
| Instructions | Repository-specific coding guidelines applied automatically | Instructions |
| Prompts | Reusable templates for common tasks like commits and PRs | Prompts |
| Scripts | Validation tools for linting, security, and quality | Scripts |
.github/
├── chatmodes/ # Specialized Copilot chat assistants
├── instructions/ # Repository-specific coding guidelines
└── prompts/ # Reusable prompt templates
docs/ # Learning guides and tutorials
scripts/ # Validation and development tools
We appreciate contributions! Whether you're fixing typos or adding new components:
- Read our Contributing Guide
- Check out open issues
- Join the discussion
| Guide | Description |
|---|---|
| Getting Started | Setup and first workflow tutorial |
| RPI Workflow | Deep dive into Research, Plan, Implement |
| Contributing | Create chat modes, instructions, and prompts |
| Chat Modes Reference | All available chat modes |
| Instructions Reference | All coding instructions |
Microsoft encourages customers to review its Responsible AI Standard when developing AI-enabled systems to ensure ethical, safe, and inclusive AI practices. Learn more at Microsoft's Responsible AI.
This project is licensed under the MIT License.
Security: See SECURITY.md for security policy and reporting vulnerabilities.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.