AI can generate COBOL to Java migrations fast, but production sign-off still requires a human reviewer's certification. This piece explains why unbounded review breaks down at scale, and how a bounded, source-traced evidence trail makes sign-off possible again.

Prompt-derived AI can translate legacy code fast, but it can't replace the multi-year parallel run enterprises rely on for proof. Here's what can.

Vendors sell full modernization, not an 80% ceiling, and buyers only discover the gap once testing stalls. Here's why coverage is a pace metric, not a completeness claim, and what disposition-based verification actually requires before cutover.

LLMs can generate legacy code migrations fast, but they can't prove what they changed or account for what broke along the way. Here's why sampling and coverage reports aren't proof, and what deterministic verification actually requires.