Built a prototype quickly with Lovable, Replit, Cursor, Claude Code, GitHub Copilot, or another AI builder? EF turns the prototype into software that can survive production: architecture, security, tests, deployment, observability, documentation, and release evidence.
Architecture, codebase, dependencies, data flows, auth, and deployment assumptions.
Security, data architecture, secrets, permissions, error handling, and dependency risk.
Tests, quality gates, CI/CD, acceptance criteria, observability, and failure handling.
Production deployment, documentation, release evidence, rollback, and handoff.
We do not treat AI-generated code as unsafe by definition—or production-ready by default. The code is evaluated against the intended operating environment and business risk.
The prototype can originate from an AI builder, IDE assistant, coding agent, traditional codebase, or mixed workflow. The verification standard is based on the system you need to operate, not the tool that created it.
Keep the speed that got you here. Add the controls needed to ship.
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