AI's Safe Execution Problem: Why Code Generation Isn't Enough

The execution gap between AI-generated code and production-safe execution creates a critical challenge for teams relying on tools like Claude Code and Cursor. AI coding assistants excel at generating code but provide no native mechanisms for safe sandboxing, secrets management, or audit trails—requirements that are non-negotiable for regulated industries like finance and fintech. jhansi.io bridges this gap by providing the missing execution runtime for AI code, combining container-based sandboxing, dependency management, secrets proxying, and compliance-grade audit logging to transform AI-generated code into production-ready deployments.