Engineering demands precision. AI tool fatigue quietly undermines it.
Copilot for code, ChatGPT for debugging, Claude for architecture, AI-powered CI/CD tools, ML experiment tracking — the AI stack for engineers keeps growing. Each tool helps individually, but the cognitive cost of orchestrating them all compounds into invisible precision loss.