I finally found a vibe-coding tool I can trust with my home lab, and the AI never sees a single API key
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Tines 3B is a vibe-coding platform that addresses a critical security gap in AI-assisted development: credentials never touch the AI or the generated code. Instead, API keys and secrets are injected at request time via a proxy sitting outside the execution environment, so the model literally cannot read or leak them. Each workflow step runs in an isolated gVisor-based sandbox (a userspace kernel implementation), making cross-contamination architecturally impossible. Home lab services connect through a mutual-TLS tunnel with no firewall changes required, and CIDR-scoped access is configurable from the control panel. The platform supports 1,032 connectors covering static secrets, token-fetching flows, and cryptographic signing schemes. Code is portable standard Python and TypeScript, branches map to git branches, and a self-healing feature (Autofix/Autotune) proposes fixes as pull requests without touching live workflows. Pricing starts with a one-time $50 AI credit, after which users bring their own model subscription.