Agentic infrastructure for AI-built apps.
A PaaS so an AI coding agent can ship a full-stack app end-to-end — backend, database, mobile — without a human touching a dashboard.
Preview environments, auto-rollback, and log streaming as guardrails. Claude Code, Cursor, and Codex drive PromptShip over MCP.
Guardrails, not a remote control
An agent that ships to prod needs infrastructure that assumes things will go wrong — and makes recovery cheap.
Preview environments per deploy
Every branch can ship to an isolated preview. Agents verify behavior against a real URL before promoting to production — failures are scoped, not user-facing.
Pattern: preview envsAutomatic rollback
If a deploy fails health checks, the previous image is re-promoted. Agents observe the failure via get_deploy_status and move on without pager duty.
MCP: get_deploy_statusLog streaming for self-debugging
get_logs returns structured pod logs. An agent that shipped a broken build can read its own stack trace, patch, and re-deploy — no human in the loop.
MCP: get_logsAgent Patterns
Playbooks for running Claude Code, Cursor, and Codex against PromptShip — prompt shape, file conventions, and permission scoping that make agents reliable.
Preview environments per deploy
Prompt patterns for getting Claude Code to ship to a preview env, verify via the preview URL, and only then promote to prod.
Read patternStructuring CLAUDE.md for PromptShip
Which MCP tools are safe-by-default, which require human approval, and how to encode team conventions so agents follow them.
Read patternSafe permissions for autonomous runs
Scoped tokens, app-level permissions, and the exact set of actions to lock down when leaving an agent unattended.
Read patternInfrastructure that takes an agent's calls.
Every tool and every default shaped by one assumption: an AI coding agent is driving. Give yours a PaaS built to pick up.
Join early access