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Getting Started with Deep Code on Linux

This guide walks you through downloading and using Deep Code on a Linux computer with simple steps.

Deep Code System Requirements

  • OS: 64-bit versions of popular Linux distributions
  • Memory: 4GB
  • Storage: At least 1GB of available space
  • Network: Internet access required

Installing Deep Code

Step 1: Open your web browser, click the address bar, and type: deepcode.zip. Then press Enter to open the Deep Code website.

Open your web browser, click the address bar, and type `deepcode.zip`, then press Enter to visit the Deep Code website.

Step 2: Click the "Download & Run" button to download Deep Code.

Click the Download & Run button to download Deep Code.

Step 3: Once the download is complete, open the directory containing the Deep Code AppImage file.

Once the download is complete, open the directory containing the Deep Code AppImage file.

Step 4: Right-click the Deep Code AppImage file and open the "Properties" dialog.

Right-click the Deep Code AppImage file and open the Properties dialog.

Step 5: In the Properties panel, enable the "Executable as Program" option.

In the Properties panel, enable the Executable as Program option.

Installation Complete Double-click the AppImage file again to start using Deep Code.

Double-click the AppImage file again to start using Deep Code.

Next Steps

Now that Deep Code is up and running, here is how to get started:

  1. Select a project folder -- When you first launch Deep Code, click "Open Project Folder" and choose the directory where your code lives. The AI will work strictly within this folder, keeping everything organized.
  2. Tell the AI what to do -- Click the voice input button in the bottom-right corner and just speak your request out loud — no typing needed. Prefer typing? Enter a clear instruction in the input box instead. Either way, Deep Code takes it from there: analyzing, planning, and executing the task.
  3. Work on multiple projects -- Use Ctrl + N to open a new window and juggle several projects in parallel.

For a full walkthrough with screenshots, check out the Quick Start guide.