⚖️ Case File 2.1: The Prompt-and-Pray Conspiracy

Short summary

AI code generation creates critical blind spots in software engineering. Three main risks: developers using unvetted AI outputs without understanding time complexity or logic correctness, teams delegating code reviews to AI agents that miss business logic flaws, and implementing local optimizations without considering system-wide impact. Solutions: treat AI as a junior requiring full verification, enforce mandatory human logic reviews before merge, and validate all changes against system constraints, upstream databases, and downstream services.

• •AI code requires manual verification of logic and complexity—understand the 'why' behind every abstraction
• •Logic reviews must remain human-only; automate syntax checking but never delegate semantic judgment
• •Local optimizations must be validated against entire system constraints, upstream services, and downstream consumers

Generated with AI, which can make mistakes.