The most dangerous moment in AI-assisted development isn’t when the model gets something wrong.
Like most things in life, it’s when everything is going right and you stop paying attention.
I’ve been building a complex software project using Claude Code and Codex as my primary implementation engine. The productivity is real. The output quality, when the workflow is disciplined, is genuinely impressive.
But a few times I fell into a different mode entirely.
Prompt after prompt, change after change, no spec, no checkpoints, no Git discipline. Just vibing: chasing a goal with whatever the model suggested, iterating fast, feeling productive.
