CloudCLI's answer

CloudCLI is built with a modern JavaScript/TypeScript stack:

• Frontend: React with Vite for fast builds, Tailwind CSS for styling, and CodeMirror for the in-browser code editor with syntax highlighting
• Backend: Node.js powering the server and session management
• Infrastructure: Docker for containerized cloud sessions, with support for self-hosting
• Mobile: A dedicated mobile app for managing sessions on the go

The entire codebase is open source under AGPL-3 and available on GitHub.

HolyCode's answer:

Fly.io machines with persistent volumes for the workspaces, Docker and Debian for the image, ttyd for the browser terminal, Node and React for the interface, and Cloudflare for the site and control plane.

CloudCLI's answer

Compared to tools like GitHub Codespaces, CloudCLI is purpose-built for agentic development rather than traditional coding. Here's what sets it apart:

• AI-agent-first: While competitors give you a cloud IDE, CloudCLI gives your AI agents a persistent home in the cloud. Your agents keep working even when your laptop is closed.
• Open-source web UI and mobile app: No other CDE ships with both a browser-based UI and a native mobile app for managing sessions on the go. And it's all open source.
• Cross-device continuity: Start planning on your phone, continue in VS Code at your desk, or kick off from a Linear ticket. Your session context carries over seamlessly.
• Multi-agent support: Run Claude Code, Cursor CLI, OpenAI Codex, and Gemini CLI from one platform instead of managing separate setups.
• Affordable: Starting at €7/month for the managed service, or self-host for free with Docker.

HolyCode's answer:

Three practical differences. First, nothing gets reclaimed for idleness, so long unattended agent runs actually finish. Second, every tier includes the full toolset. Tiers differ only by CPU, RAM and disk, so paying more buys horsepower rather than unlocking features. Third, you bring your own Anthropic, OpenAI or Gemini key and the provider bills you directly, with no markup on tokens.

Where it is not the right choice: if you want a free tier to try, there isn't one, because every account is a real VM that costs money from the first minute. There is a 7-day refund instead.

CloudCLI's answer

CloudCLI is one of the only cloud development environments built specifically for AI coding agents. Where Codespaces and Gitpod give you a cloud editor, CloudCLI gives your agents a persistent home that stays alive 24/7. What makes it particularly valuable for teams: shared MCP servers and environment configs mean every developer starts from the same baseline. A full REST API means sessions can be triggered from automation tools, not just opened manually. Background agents can run overnight and produce PRs for review in the morning. And the entire platform is open source (AGPL-3) so teams can self-host on their own infrastructure.

HolyCode's answer:

The machine does not stop when you do. Most cloud dev environments are containers with an idle timer that reclaims them when nobody has typed for a while, which is exactly what a working unattended agent looks like to a timer. Here the workspace is a real VM with a persistent disk. Hand an agent a four-hour task, close your laptop, and the processes, files and terminal scrollback are still there when you come back. It suspends when idle and resumes in about a second, so always-on does not mean always-billing.

CloudCLI's answer

CloudCLI is built for engineering teams that use AI coding agents as part of their daily workflow. This includes teams adopting agentic development practices with tools like Claude Code, Cursor CLI, or Codex who need shared environments where MCP servers, context files, and configurations stay consistent across every developer. It also serves engineering managers looking to integrate AI agents into existing workflows through API-driven automation with tools like Linear, Jira, and n8n. Solo developers and open-source contributors who want persistent remote access from any device are also a core audience, along with organizations that need to self-host for data sovereignty or regulatory compliance.

HolyCode's answer:

Developers running AI coding agents on real work rather than demos. Typically people who already pay for Claude, Codex or Gemini and have hit the point where the bottleneck is not the model but the machine underneath it. Many have tried tmux on a VPS and got tired of maintaining the VPS.

CloudCLI's answer

CloudCLI started as an open-source project to solve a problem every developer using AI coding agents hits: your agent ties up your terminal and stops working when your laptop sleeps. We built a cloud-native environment where agents run persistently, paired with an open-source web UI so anyone could manage sessions from a browser or phone. As teams started adopting it, the focus shifted to shared environments, where team-wide MCP servers, configurations, and context files could be maintained in one place instead of duplicated across every developer's machine. The project grew to 9,000+ GitHub stars organically with no marketing. Today CloudCLI offers both a free self-hosted option and a managed cloud service starting at €7/month.

HolyCode's answer:

It started as an open-source Docker image for running coding agents with persistent state, which is still free and maintained at github.com/CoderLuii/HolyCode. The most common feedback was that persistence mattered most: sessions, settings and progress surviving a rebuild rather than starting over each time. The hosted version is that same image on a machine someone else maintains.