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Augmented Academic // Workflow 01

Mission Control Setup

Moving from Consumer (Browser) to Builder (IDE).

The Shift to "Builder" Mode

Every Space Professional needs their tools. We are moving from a consumer environment (the Browser) to a builder environment (the IDE).

For someone working in the space sector—whether you are a student analyzing orbital data or a seasoned professional modeling workplace sustainability—your environment matters. You wouldn't launch a rocket from a backyard; you need a Launch Complex.

Visual Studio Code (VS Code) is your Mission Control. It is where you will write code, manage data, and direct your AI agents.

Installation Sequence

1Download the Interface

Visit code.visualstudio.com.

VS Code is fully cross-platform. The site will automatically detect whether you are on Windows, macOS, or Linux. Download the Stable Build.

2Install & Configure

Run the installer. Accept the varied defaults, but pay attention to the "Select Additional Tasks" screen.

CRITICAL FOR WINDOWS USERS:
Ensure you check the boxes options:
✅ "Add 'Open with Code' to the FILE context menu"
✅ "Add 'Open with Code' to the DIRECTORY context menu"

This allows you to right-click any folder and instantly launch your mission control.

3Launch & Augment

VS Code Welcome Screen

Open VS Code. The interface is your cockpit. You will not be coding alone; you will be "Directing" an AI agent.

This begins with extensions like Gemini Code Assist or GitHub Copilot, but the future of this field lies in fully Agentic IDEs like Google Antigravity (Project IDX) or Cursor.

For today's mission, we establish our standardized baseline. Click the Extensions icon (Squares on the left sidebar) and install these core upgrades:

VS Code Extensions Sidebar
  • Python (by Microsoft) - The engine of data science.
  • Jupyter (by Microsoft) - For interactive notebooks.
  • AI Toolkit for VS Code (by Microsoft) - Fine-tune and run local models in VS Code. Install extension
  • GitHub Copilot (by GitHub) - Your AI flight partner.
  • Codex — OpenAI’s coding agent - Delegation inside VS Code. Install extension
  • Live Preview (by Microsoft) - Local web preview inside VS Code. Install extension

Two agents, two quotas: You now have Codex and Copilot in the same IDE. Each has different strengths and limitations, but most importantly, each has its own quota. When one is used up, you can switch to the other to keep working without interruption.

Python Extension Details Jupyter Extension Details

4First Ignition

Let's verify systems.

  1. Create a new folder on your computer named Space_Lab_01.
  2. Right-click that folder and select Open with Code.
  3. Create a new file named hello_mars.py.
  4. Type: print("Systems nominal. Hello Mars.")
  5. Press the Play Button (top right).

If you see the message in the terminal below, you are cleared for launch.

5Co-Pilot Flight Check

Now, let's engage your AI Flight Partner. Copilot suggests code as you type (Ghost Text).

▶ Test the Autopilot

In your hello_mars.py file, type the following comment and press Enter:

# Calculate the travel time to Mars at 25,000 mph

You should see grey text appear. That is Copilot.

▶ Flight Controls

Action Command (Windows/Linux) Command (macOS)
Accept Suggestion Tab Tab
Next Suggestion Alt + ] Option + ]
Partial Accept (Word) Ctrl + → Cmd + →
Open Mission Palette
(See 10 options)		 Ctrl + Enter Ctrl + Enter
Troubleshooting: If you don't see suggestions, check the bell icon in the bottom right corner. You may need to sign in to GitHub again.

✅ Readiness Check

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