AI code verification struggles to

Short summary

AI code generation now outpaces human verification, creating 'validation debt' where unproven code accumulates as technical risk. The author resolved this by making verification a system boundary rather than a prompt rule—requiring evidence for every acceptance criterion. Key insight: verification must match implementation speed, not trail behind it.

• •AI code generation velocity creates a verification gap that becomes technical debt
• •Solution: enforce verification as infrastructure boundary, not optional prompt rule
• •Structured specs with acceptance criteria and evidence attachment enable AI-scale verification

Generated with AI, which can make mistakes.