Devento

Devento is an AI project builder tool that chats with an AI agent that builds and deploys full-stack apps. Devento is a chat-based AI agent that scaffolds, runs and deploys full-stack apps inside secure container sandboxes, with visible reasoning, backend API generation and direct SSH access for custom networking work.

Devento is a chat-driven development environment where the AI agent does more than suggest code. It runs commands inside a secure container, scaffolds projects, installs dependencies, starts services and deploys the result to a live micro-VM sandbox. The homepage demonstration shows a single prompt asking for the shadcn dashboard-01 template on a new Next.js project, followed by the agent creating the app, installing packages, running the dev server and presenting a working preview, all without the user touching a terminal. The product is aimed at developers who want to skip the setup tax on new ideas, and at technically curious builders who can describe an application but would rather not hand-wire a stack. Because the agent reasons through each step in the open, users can follow the thinking, inspect commands and their output, and intervene when something drifts. It supports frontend work, backend APIs and deployment in the same conversation, so a task management API with database design can go from prompt to reachable endpoints with task records returned as JSON. Beyond web apps, Devento leans on raw container access. Direct SSH into an Ubuntu 22.04 environment, custom TCP protocols and full network control mean the same agent can work on game servers, IoT backends or anything else that needs a socket. That places it closer to an agentic coding sandbox than to a pure code completion tool: it occupies the territory between general chat assistants and managed deployment platforms, and it competes on breadth of execution rather than on IDE integration. A free tier is offered with no credit card required, and an enterprise page suggests options for larger teams. The workflow is conversational and iterative: chat, build, deploy, repeat. Buyers should expect to review the agent's choices carefully, since autonomous command execution inside a container is powerful and needs supervision.