CodeStrap warns AI business reckoning looms

This reads less like a product launch than a reality check from consultants betting that the market is optimizing for demos instead of durable outcomes.

• –Their core complaint is measurement: teams track lines of code and PR volume instead of deployment frequency, change failure rate, incident severity, and time to restore.
• –The article’s strongest point is that AI failure modes get nastier in business settings where bad output can hide inside decks, reports, and decisions.
• –Insurance and liability are the sleeper issue here; if underwriters start excluding AI workflows, adoption gets constrained by risk management, not just engineering taste.
• –If customers begin discounting AI-assisted services, the near-term winners will be firms that can prove human review and measurable quality gains.