The short answer is that vibe-coding works best when you have a well-structured, clean codebase with guide rails to assist the LLM. If you leave an LLM to its own devices though, the structure collapses and turns to slop over time.
Human-in-loop coding with LLMs is a truly exceptional force multiplier. Vibe-coding with minimal review falls apart fast.
Incremental improvements on the current models aren’t enough to overcome this dynamic; we’ll need another transformational step-function improvement to get to a place where an agent can consistently keep the codebase as coherent as a human can.
The short answer is that vibe-coding works best when you have a well-structured, clean codebase with guide rails to assist the LLM. If you leave an LLM to its own devices though, the structure collapses and turns to slop over time.
Human-in-loop coding with LLMs is a truly exceptional force multiplier. Vibe-coding with minimal review falls apart fast.
Incremental improvements on the current models aren’t enough to overcome this dynamic; we’ll need another transformational step-function improvement to get to a place where an agent can consistently keep the codebase as coherent as a human can.