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AI Agent2025
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HVE Core

Packages reusable GitHub Copilot building blocks — agents, prompts, instructions, and skills — to make AI-assisted coding repeatable and standards-aligned for a team. Built around an RPI (Research, Plan, Implement) workflow in VS Code.

Introduction

Most teams adopt GitHub Copilot the way they once adopted Stack Overflow: ad hoc, person by person, with no shared muscle memory. HVE — Hypervelocity Engineering — is Microsoft's attempt to turn that improvisation into a repeatable discipline, shipping the agents, prompts, instructions, and skills as version-controlled artifacts you commit to the repo instead of habits locked in one engineer's head.

What Sets It Apart
  • Built on an explicit RPI loop — Research, Plan, Implement — so a feature moves through named agents (task-researcher, rpi-agent, memory) rather than one open-ended chat. The process becomes reviewable, not just the code.
  • Treats Copilot configuration as source: instructions auto-apply coding standards, skills package reusable tool capabilities, and prompts act as reusable entry points — all diffable and shareable across a team.
  • Ships "validated artifacts," meaning workflow outputs are checked against conventions rather than trusted blindly.
Who It's For

Great fit if you run a team standardizing on Copilot and want every engineer to follow the same research-plan-implement path, with AI behavior captured in the repo. Look elsewhere if you work solo and prefer free-form chat, don't use GitHub Copilot, or want a model-agnostic agent framework — HVE is purpose-built for the Copilot and VS Code ecosystem, and is heavily PowerShell plus Python under the hood.

Information

  • Websitegithub.com
  • AuthorsMicrosoft
  • Published date2025/11/02

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