AI assistants accelerate IoT code creation, but the shortcuts often hide system‑wide flaws. An industry veteran points out that code which passes unit tests can still violate hardware limits, data‑flow rules, or architectural contracts, causing thousands of devices to fail at once. The risk mirrors the 1996 Ariane 5 disaster, where reused software triggered a catastrophic launch.

Studies cited in the article reveal concrete damage: GitHub Copilot and four other tools produced over 304,000 commits, yet more than 15% contained at least one quality issue, and a quarter of those defects persisted to release. Duplicate logic rose from 8.3% to 12.3% in 2024, outpacing refactoring, showing how AI‑generated snippets proliferate without reuse checks.

Mitigation relies on disciplined processes. Mandatory human review, even though it now consumes 29% more reviewer time, catches mismatches with device constraints and architectural drift. Teams also designate “no‑go zones” for AI‑generated code—packet parsing, interrupt handling, and firmware‑critical paths—ensuring that the most sensitive layers remain manually crafted.