AI writes into a real project
Generated changes land in code that can be reviewed and tested. The durable asset is the app project, not the prompt transcript.
AI-assisted app building is useful only if the generated tool can be reviewed, pinned, promoted, and operated on controlled data.
Done — summary derived in buildSummary(), 3 files changed:
sandboxed · server-side · ships through the same pinned release path
Relpin treats AI as an authoring layer, not as the production control plane. The shipped artifact still passes through the same governed release path.
Generated changes land in code that can be reviewed and tested. The durable asset is the app project, not the prompt transcript.
Provider credentials, connector calls, and database access stay server-side and scoped. A generated screen does not bypass runtime policy.
AI can accelerate drafts, but the release that reaches production is pinned to a concrete artifact and can require approval.
All category guides for internal tool builders, AI agents, low-code limits, and production data.
OpenCodeRelpin authoring with OpenCode inside the browser builder.
AI App Builders ComparisonCompare AI app builders against governed internal tool delivery.
AI Agents for Internal ToolsHow agent-assisted app building fits governed internal tools.
SecurityThe security posture behind governed app building.
Relpin supports AI-assisted authoring for internal apps, but the core value is governed delivery: controlled data access, pinned releases, and audited promotion.
No. The app still builds into a release artifact and follows the same promotion model before production users get access.