Scanned before it ships
Hardcoded credentials, unsafe install hooks, native binaries and malicious patterns are detected during import. Secret values are never displayed — only the file and line where they were found.
Take a dashboard, prototype or site created in an AI coding environment and put it into production without learning containers, CI or cloud infrastructure. Project X scans the artifact, tells you what it found, hosts it, and keeps every version immutable and reversible.
Hardcoded credentials, unsafe install hooks, native binaries and malicious patterns are detected during import. Secret values are never displayed — only the file and line where they were found.
Every import creates an immutable version. Production is a pointer you can move back to any healthy deployment — no rebuild, no drift.
Knowing a resource identifier is never enough. Every read and write is scoped to your workspace, and every privileged action is written to an audit trail.
Application credentials are encrypted at rest and can be created, replaced and deleted — but never revealed. There is no API that returns a secret value.
Bring an artifact straight from an AI coding environment as a bundle, a paste, or a base64 payload through the API. Git is supported but never required.
Everything the dashboard does is available over a documented REST API with scoped, revocable tokens, so agents and CI can drive deployments.
Stated plainly, because a deployment platform that overstates its scope wastes your time:
index.html or a built dist/, build/ or
public/ directory. This covers the large majority of artifacts produced by
AI coding environments.
npm install and next build. Imported source
projects are analysed and their findings reported, but they are not compiled here.