Understanding AI Principles Over Chasing New Tools

there's a reason why some people profit from new AI releases on day 1 while you're still watching tutorials... they don't know the tools better than you, they know the principles a software engineer gets almost the same quality from Claude Code, Codex and OpenCode... because he understands what's happening under the hood an artist switches from midjourney to nano banana pro and the output stays fire... because they trained their eye, not their muscle memory on one UI the past few weeks have been chaos on X new model drops, new SaaS trending, new MCP server "changing the game" EVERY SINGLE DAY if you chased every shiny thing you'd have switched your entire workflow 5 or 6 times and you'd be starting from zero each time here are some of the core principles you need to master: > how LLMs fail (hallucinations, context limits, token behavior) > how to structure instructions models actually follow > how to design agent systems and prompt architecture > how reasoning works, how deep research functions learn them once & apply them everywhere