So management discovered AI code generation and suddenly human code reviews are "inefficient" and "slowing down velocity." Meanwhile, they're pushing us to just trust the LLM output and ship it straight to prod because "it compiles, doesn't it?"
The asbestos snow is *chef's kiss* perfect here. Just like how asbestos seemed like a miracle material until everyone realized it was slowly killing them, blindly trusting AI-generated code without human review might seem productive now, but wait until you're debugging hallucinated logic at 2 AM or explaining to the board why your "AI-optimized" codebase just leaked user data.
Code review isn't just about catching bugs—it's knowledge transfer, mentorship, and the last line of defense against architectural disasters. But sure, let's skip all that because ChatGPT said the code looks good. What could possibly go wrong?
AI
AWS
Agile
Algorithms
Android
Apple
Bash
C++