CloudCLI
GitHub Codespaces
Gitpod
Qoder IDE
Roo Code
GitHub Copilot
Cursor
JetBrains Junie
Claude Code
Explyt
Kilo.ai
Codexโโ
Most engineering teams run AI coding agents on individual laptops. Close the lid, lose the session. When a new developer joins, they spend hours recreating the same setup.
CloudCLI gives your team shared cloud environments where AI agents run 24/7. Every developer gets their own isolated container, but the team shares MCP servers, context files, and configurations across all projects. Onboarding takes minutes.
Sessions can be started through a full REST API, so workflows in Linear, Jira, or n8n can trigger background coding agents programmatically. A ticket gets filed, an agent starts coding, the developer reviews the PR in the morning.
The web UI and mobile interface include a file explorer, git explorer, and full shell access. Review PRs on your iPad, make fixes from your phone, then pick up in VS Code over SSH.
Unlike GitHub Codespaces, CloudCLI is purpose-built for agentic development. Claude Code, Cursor CLI, Codex, and Gemini CLI come pre-installed. Sessions survive laptop closure. Teams bring their own API keys with no vendor lock-in.
Built on an open-source core (AGPL-3, 9,000+ GitHub stars). Self-host for data sovereignty or use the managed service from โฌ7/month.
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CloudCLI's answer
CloudCLI is built with a modern JavaScript/TypeScript stack:
The entire codebase is open source under AGPL-3 and available on GitHub.
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:
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.
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.
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 โฌ7/month.
Based on our record, Roo Code seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
35B-A3B means it's a MoE model with 35B total parameters but with only 3B active at once. The one I use is the 27B dense model. Usually, dense models give better responses, but are slower than the MoE. With your 4090, you should be able to get about 50 tok/s with the dense model, which is more than enough for practical use. If you want to keep using the same model, these settings worked for me. llama-server -ngl... - Source: Hacker News / 4 months ago
We wrote the code ("we" being "me" and various agentic tasking code assistants, mostly Roo Code, some Kilo, some Cline, and some IBM Project Bob) as part of a design-code-play-repeat cycle on a larger web dashboard project (not yet released). - Source: dev.to / 7 months ago
Anthropic & OpenAI-Compatible APIs: Deploy via SiliconFlow with seamless integration into Claude Code, Kilo Code, Cline, Roo Code, and other mainstream agent workflows with significant improvements on complex tasks. - Source: dev.to / 8 months ago
Roo Code Official Website: RooCode. - Source: dev.to / about 1 year ago
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Gitpod - One click dev environment for GitHub
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
Qoder IDE - Qoder is an AI-powered agentic coding platform and IDE that automates complex software development tasks using autonomous AI agents.
JetBrains Junie - You think it, Junie helps make it happen โ right in your IDE. Available on IntelliJ IDEA, PyCharm, WebStorm and .
