title	HVE AI Companion Guide
description	The Research → Plan → Implement (RPI) framework for AI-assisted development with HVE Core and GitHub Copilot
author	HVE Core Team
ms.date	2025-11-15
keywords	AI-assisted development GitHub Copilot RPI framework hve-core engineering fundamentals

🎯 What You'll Learn

Transform your development workflow with systematic AI assistance:

• Evidence-based development preventing AI hallucinations
• Chat mode proficiency for Discovery, Research, Planning, and Implementation
• Structured workflows delivering consistent, validated results
• Role-specific applications for Engineers, TPMs, BPMs, and Leaders

🚀 Quick Start

New to HVE and RPI? Start here:

1. Engineering Fundamentals - Is your codebase AI-ready? (5-7 min)
2. Core RPI Framework - Learn Research → Plan → Implement (6-8 min)
3. Your First RPI Workflow - Hands-on tutorial (15-20 min)

🔄 The RPI Framework

Research → Plan → Implement is the foundation of all HVE practices:

graph LR
    A[Fuzzy Requirement] -->|Task Researcher| B[Research Document]
    B -->|Task Planner| C[Implementation Plan]
    C -->|Edit Mode/Agent| D[Production Code]
    style A fill:#f9f,stroke:#333
    style B fill:#bbf,stroke:#333
    style C fill:#bfb,stroke:#333
    style D fill:#ffb,stroke:#333

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• Research Phase: Task Researcher mode - Deep, evidence-based discovery
• Plan Phase: Task Planner mode - Three-document planning system
• Implement Phase: Edit Mode/Agent - Controlled or autonomous execution

Explore RPI Framework →

🤖 GitHub Copilot Chat Modes

Learn the right mode for each RPI phase:

Mode	Best For	RPI Phase	Learn More
Ask Mode	Quick discovery, landscape reconnaissance	Research	Ask Mode Guide
Task Researcher	Deep research, evidence gathering	Research	Task Researcher Guide
Task Planner	Implementation planning	Plan	Task Planner Guide
Edit Mode	Controlled refactoring	Implement	Edit Mode Guide
Agent Mode	Autonomous execution	Implement	Agent Mode Guide

Chat Modes Deep Dive →

🎯 Popular Workflows

Real-world applications of the RPI framework:

• Merge Conflict Resolution - Systematic evidence gathering for complex conflicts
• Performance Review Automation - Structured data extraction and synthesis
• Executive Briefing Generation - Multi-source research with validated outputs
• Engineering Fundamentals Audit - Comprehensive codebase assessment patterns

All Workflows →

🎓 Learning Path

This guide is structured as a progressive learning journey:

Part I: Engineering Foundations (Chapters 1-4)

Essential prerequisites and your first RPI workflow

• Chapter 1: Are You Engineering-Ready?
• Chapter 2: Setting Up Your Environment
• Chapter 3: The RPI Method
• Chapter 4: Your First Complete Workflow

Part II: Deep Dive into Practice (Chapters 5-11)

Learn each GitHub Copilot chat mode and advanced workflow patterns

• Chapter 5: Discovery and Research Modes
• Chapter 6: Planning and Architecture Modes
• Chapter 7: Implementation Modes
• Chapter 8: Edit Mode and Precision Implementation
• Chapter 9: Agent Mode and Autonomous Execution
• Chapter 10: ADR Creator Mode
• Chapter 11: Advanced Workflows and Complex Scenarios

Part III: Advanced Prompting Patterns (Chapters 12-16)

Custom agents, workflow orchestration, and meta-prompting

• Chapter 12: Prompt Files and Instructions Basics
• Chapter 13: Advanced Instruction Patterns
• Chapter 14: Custom Agents and Workflow Orchestration
• Chapter 15: Meta-Prompting and Self-Improving Systems
• Chapter 16: Advanced Architecture and Integration

Part IV: Organizational Scaling (Chapters 15-17)

Apply HVE patterns across roles and scale to enterprise teams

• Chapter 15: For Development Teams
• Chapter 16: For Program Managers
• Chapter 17: For Leaders and Scaling Organizations

📖 About This Guide

This guide builds on the #SeasonOfHVE blog series, bringing together content into a structured learning resource. Content covers:

• Engineering fundamentals as AI prerequisite
• RPI framework and variations (D-RPI, 1→3→All, Agent+Ask)
• Chat mode deep dives with evidence-based examples
• Advanced prompting patterns with custom agents and meta-prompting
• Real-world workflows with time reduction metrics
• Role-specific applications across engineering roles

Built by: Microsoft Edge AI team
License: MIT

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Features of This Site

• 🌙 Dark/Light Mode - Toggle in the top-right corner
• 📋 Copy-to-Clipboard - Click the copy button on any code block
• 📊 Interactive Diagrams - Mermaid and DrawIO diagram support
• 📖 Book-Style Navigation - Previous/Next buttons for sequential reading
• 🔍 Full-Text Search - Search box in the sidebar

Need Help?

• HVE Core Repository: microsoft/hve-core - The foundation tooling for HVE practices
• Edge AI Repository: microsoft/edge-ai - Edge AI team resources and examples
• This Guide Repository: WilliamBerryiii/hve-ai-companion-guide
• Issues & Discussions: GitHub Issues

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🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.