Adios.dev: The AI-Native Cloud Workspace for Building and Deploying

Overview

Adios.dev is a cloud workspace and deployment platform specifically designed for AI coding agents and developers. It solves the critical problem of providing a safe, isolated environment where AI agents can write code, run builds, execute tests, and preview applications without risking production stability or local machine security. Unlike traditional app builders that lock code into their own editors, Adios allows users to bring their own code, keep it in their repositories, and run it on real infrastructure from the first deploy.

Benefits

Adios offers several key advantages for modern development workflows. First, it provides isolated and secure workspaces. AI agents run code in a sandboxed environment, not on your laptop. This ensures they cannot break your local machine or access unauthorized resources. Secrets like API keys and database credentials are stored securely in Adios and injected into the runtime. They never land in Git repositories. Second, the platform offers resource control. Builds and previews run with defined resource limits, preventing unexpected cloud costs. Third, Adios integrates seamlessly with popular AI coding tools through the Model Context Protocol. Supported clients include Codex, Claude, Cursor, ChatGPT, VS Code, and GitHub Copilot CLI. Users can connect their AI tool to Adios, instruct it to deploy an app, and the AI can manage the build, preview, and deployment lifecycle autonomously, subject to human approval. Fourth, the platform uses a declarative configuration file called adios.yaml. This file specifies build and start commands, runtime settings, resource limits, health check paths, and secret references. This approach allows both humans and AI agents to configure workspaces dynamically and reproducibly. It supports version control, allowing teams to diff workflow changes just like code. Finally, Adios supports a wide range of runtimes and frameworks including Node.js, Python, Go, PHP, Ruby, and .NET. It can host web apps, APIs, background workers, databases, caches, and file storage, all connected via private networking.

Use Cases

Adios is built for developers and founders who want to launch AI-powered applications quickly without DevOps overhead. It is ideal for AI engineers who need a safe substrate for running agentic pipelines. Startups looking to build Minimum Viable Products with integrated AI will find it useful. Enterprise teams requiring managed hosting for databases, background jobs, and secure secret management can also benefit. The workflow is simple. You tell your AI to deploy, Adios prepares a cloud workspace, builds and starts the app, checks its health, and returns a live HTTPS link once you approve. This eliminates the friction of manually configuring environments, managing servers, or worrying about cloud bills caused by runaway AI processes. Beyond simple app hosting, Adios supports YAML-defined workflows. These structured steps can call APIs, run scripts, query databases, and invoke AI agents in sequence. The platform also handles data pipelines triggered by webhooks, enabling event-driven, agent-executed automation without human intervention.

Pricing

Adios operates on a freemium model designed to lower the barrier to entry for AI-driven development. The Free Workspace costs $0 per month. It includes the ability to build, test, and open preview URLs. Users have access to basic features and AI integration. No credit card is required, though email verification is needed. The limitation is that preview URLs sleep after 4 hours of idle time. The Production Plan starts at $10 per month. It includes always-on hosting, custom domains, TLS management, and advanced features. Resources include 1 vCPU and 1 GB RAM which are scalable based on the plan. Bandwidth includes 500 GB.

Vibes

Adios addresses the last mile problem of AI development by moving from a local prototype to a live, secure, and scalable product. It combines the flexibility of open-source infrastructure with the automation capabilities of modern AI agents. The platform was designed for the way modern development works where you ask and your AI ships. Most cloud infrastructure was designed for human engineers clicking through dashboards. Adios focuses on the substrate where agents actually execute.

Additional Information

Adios bridges the gap between local development and production deployment. The workflow is simple where you tell your AI to deploy and Adios prepares a cloud workspace. It builds and starts the app, checks its health, and returns a live HTTPS link once you approve. This eliminates the friction of manually configuring environments, managing servers, or worrying about cloud bills caused by runaway AI processes.