Quizzing Developers on AI-Generated Code

AI coding agents like GitHub Copilot, Claude Code, Cursor, and Codex enable developers to produce features and refactor repositories faster than traditional workflows. However, this speed creates a critical software engineering challenge in 2026, as code generation outpaces the ability to verify security and production readiness. AI can produce plausible patches that appear idiomatic but contain faulty system models, potentially introducing errors in authorization, data ownership, or failure handling that narrow test suites may miss.