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CloudCLI
GitHub Codespaces
Gitpod
Qoder IDE
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 €7/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 €7/month.
Based on our record, Sculptor seems to be more popular. It has been mentiond 6 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.
I like treemaps for visualizing hierarchical mass and density of resource usage. I've always particularly loved GrandPerspective's dense, colorful rendering, but haven't found a similar but generalized treemap that works in reactive web views across many data visualization contexts. So I built gp-treemap, a canvas-based web component that renders GP-style treemaps with millions of nodes:... - Source: Hacker News / 4 months ago
Easiest to have different agents or turns that set aside the top-level goal via hooks/skills/manual prompt/etc. Heuristically, a human will likely ignore a lot of warnings until they've wired up the core logic, then go back and re-evaluate, but we still have to apply steering to get that kind of higher-order cognitive pattern. Product is still fairly beta, but in Sculptor[^1] we have an MCP that provides agent &... - Source: Hacker News / 8 months ago
Hey, Kanjun from Imbue here! This is exactly why we built Sculptor (https://imbue.com/sculptor), a desktop UI for Claude Code. Each agent has its own isolated container. With Pairing Mode, you can sync the agent's code and git state directly into your local Cursor/any IDE so you can instantly validate its work. The sync is bidirectional so your local changes flow back to the agent in realtime. Happy to answer any... - Source: Hacker News / 11 months ago
A lot of recent HN stories and comments lately are on the topic if LLM agent safety (or lack thereof). Let's assume that giving a non-deterministic and easily fooled program full access to run anything it wants on your dev machine is a bad idea. Let's also assume that any "handshake promises" that the LLM won't do that, or that it will get your permission before running commands, are null and void. That is, we... - Source: Hacker News / 11 months ago
Not just visually organizing the terminals for the agents, but also keeping their environments and source trees straight, and merging them to the correct upstream branches, can quickly turn into a very complex co-ordination problem. This is exactly why we built Sculptor (https://imbue.com/sculptor). You don't need to manually juggle multiple terminal tabs because each Claude Code agent gets its own container with... - Source: Hacker News / 11 months ago
Omnara - Launch & control Claude Code from anywhere. Stop being chained to your desk. The real-time command center to monitor, debug, and guide your agent—right from your phone.
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Conductor - Conductor lets businesses manage their web presence, allowing them to engage and retain customers.
Gitpod - One click dev environment for GitHub
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Qoder IDE - Qoder is an AI-powered agentic coding platform and IDE that automates complex software development tasks using autonomous AI agents.