Skip to content
| Marketplace
Sign in
Visual Studio Code>Debuggers>ArchitectIQNew to Visual Studio Code? Get it now.
ArchitectIQ

ArchitectIQ

RIG Copilot Labs

|
53 installs
| (5) | Free
AI-powered multi-agent development system that plans architecture, predicts change impact, and generates implementation-ready prompts inside VS Code.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
Copied to clipboard
More Info

ArchitectIQ

Version Downloads Rating License

TypeScript AI VS Code

ArchitectIQ Banner

Tagline

ArchitectIQ exists to eliminate guesswork in feature delivery by mapping architecture impact before a single line of code is written.

Product Walkthrough

Step 1: Find ArchitectIQ in VS Code Extensions

Search for ArchitectIQ in the VS Code Extensions marketplace and open the extension details.

Step 1 - Search ArchitectIQ in Extensions

Step 2: Open ArchitectIQ from the Activity Bar

After installation, click the ArchitectIQ icon in the left Activity Bar to launch the extension view.

Step 2 - ArchitectIQ Activity Bar Icon

Step 3: Enter a Feature Request and Generate

Provide your feature request in the prompt input and click Generate Architectural Prompt.

Step 3 - Generate Architectural Prompt

Step 4: Review Prompt Output and Analysis

Inspect two outputs:

  • Agent Prompt for downstream coding assistants
  • Analysis Panel explaining why specific files were selected

Step 4 - Agent Prompt and Analysis Panel

Step 5: Open the Architecture Graph in Browser

Click Open Graph in Browser to explore the repository dependency and impact graph.

Step 5 - Open Graph in Browser

Step 6: Explore Interactive Graph Physics

Use node interactions and physics-enabled movement to inspect structural relationships.

Step 6 - Interactive Graph View

Step 7: Focus on a Targeted Subgraph

Use Focus Subgraph to isolate specific nodes and inspect related architecture details.

Step 7 - Focus Subgraph

Step 8: Copy Prompt and Use with Your Coding Agent

Click Copy Prompt, then paste the output into your preferred coding assistant such as GitHub Copilot, Cursor, or Trae.

Step 8 - Copy Prompt for External Agent Use

Key Features

Feature What it does
Smart Code Planning Predicts the files most likely to change for a feature.
AI Context Awareness Understands structure, dependencies, and co-change patterns.
Fast Local Execution Runs inside VS Code using your local repository context.
Privacy-First Pipeline Keeps core analysis on local workspace data.

Why This Extension Exists

Most teams start implementation with incomplete impact awareness. ArchitectIQ was built to answer one critical question early: "what will this feature actually touch?"

Feature Comparison

Feature ArchitectIQ Generic Copilot Workflow
Architecture Planning Before Coding ✅ ❌
Repository-Scale Impact Mapping ✅ ❌
Local Dependency + Co-Change Signals ✅ ❌
Privacy-First Local Analysis ✅ ⚠️

How It Works

  1. Open your repository in VS Code.
  2. Open ArchitectIQ from the Activity Bar.
  3. Enter your feature request in plain English.
  4. Generate an architecture-aware implementation prompt.
  5. Build with high-confidence file targets and guidance.

Installation

  1. Open VS Code.
  2. Go to Extensions.
  3. Search for ArchitectIQ.
  4. Click Install.
  5. Open your repository and start from the ArchitectIQ view.

Example

Input request:

add late return fee preview before owner confirms trip closure

ArchitectIQ returns:

  • likely files to modify
  • implementation patterns already used in your repo
  • dependency-aware impact hints
  • a focused prompt ready for coding assistants

Command Showcase

Ctrl + Shift + P
> ArchitectIQ: Generate Prompt from Workspace
> ArchitectIQ: Copy Last Generated Prompt

Configuration

  • Privacy model: local-first repository analysis.
  • Generated artifacts: .architectiq/rig.json, .architectiq/rig-view.html.
  • Recommended practice: ignore generated artifacts if your policy requires clean commits.
  • Security docs: see PRIVACY.md and SECURITY.md.

Roadmap

  • Multi-language parser depth expansion
  • Richer impact confidence scoring
  • Improved monorepo workspace targeting
  • Extended architecture graph visualization

Contributing

We welcome focused contributions in parser support, analysis quality, and UX. See CONTRIBUTING.md for contribution workflow and standards.

Developed By

Developed by Dhruvin Patel.

  • Contact us
  • Jobs
  • Privacy
  • Manage cookies
  • Terms of use
  • Trademarks
© 2026 Microsoft