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Aether Platform

Cloud IDE & Orchestration

The first pillar of the Aether Platform is the “Cloud IDE”. It goes beyond simply running VS Code in a browser; it fully automates the “Environment Definition,” “Provisioning,” and “Lifecycle Management” that power it.

The developer-facing experience is delivered through Aether Workspace — the combination of Code-Server and Code Indexer (GrepAI) that provides not just a code editor, but an IDE that understands your code.

Key Components

1. Workspace Engine (Orchestrator)

Allocates independent compute resources to thousands of concurrent users in seconds.

  • Role: Handles user authentication, Pod scheduling, and automatic shutdown during inactivity (Scale-to-Zero).
  • Feature: Combines enterprise-grade concurrency with “Pay-as-you-go” efficiency perfect for Startups & SMBs. No need to hire a dedicated DevOps team.

2. Aether Workspace (Web-based IDE + Code Intelligence)

Develop from anywhere, with just a browser — backed by semantic code understanding.

  • VS Code (Code-server): Provides full parity with local VS Code, including extensions, terminal, and debugger support.
  • Code Indexer (GrepAI): Automatically indexes your codebase for natural language search, call graph tracing, and AI-ready context. Learn more →
  • Jupyter Notebooks: Integrated interface for Python data analysis and AI development. Switch between IDE and Notebook views with a single click.

3. Nix Reproducibility (Reproducibility Engine)

Eliminate the “It works on my machine” problem.

  • Role: Declaratively defines OS-level dependencies (Python versions, system libraries, etc.).
  • Benefit: Ensures bit-perfect environment reproduction regardless of who launches it or when. Prevents environment rot caused by ad-hoc apt-get or pip install commands.

4. Connect from Desktop

Connect securely from your familiar local VS Code, not just the browser.

  • Background Connection: The connect-from-vscode command establishes a secure Flexible Network Connect Service (NCS) tunnel invisibly.
  • Hybrid Workflow: Execute heavy workloads on powerful cloud instances while enjoying the snappy response of your local UI.