Claude Code vs. Vibe Coding: My Current Stack
For those starting an AI workflow, here is how I've structured my current deployment to avoid the "AI spaghetti code" loop:
The Setup
I don't rely on a single agent to do everything. I treat the LLM like a junior dev who is incredibly fast but occasionally hallucinates API endpoints.
1. Architecting: I draft the data schema and component hierarchy manually. If you let the AI decide the architecture, you'll spend ten hours fixing a fundamental flaw later.
2. Implementation: I use Claude Code for the actual feature builds. It's significantly better at understanding project-wide context than standard chat interfaces.
3. Validation: Every single block of generated code goes through a manual "sanity check." I rewrite about 20-30% of the logic—mostly to remove redundant helper functions that AI loves to invent.
The Tech Stack
The real value isn't in the "magic" of the code generation, but in the compression of the feedback loop. I'm building tools now that would have taken me three months of documentation diving and trial-and-error in my previous "designer-only" life. The barrier to entry hasn't just lowered; it's vanished.
The biggest lesson: stop trying to write the "perfect prompt" and start focusing on how to modularize your code. The smaller the file, the less likely the AI is to break something unrelated when adding a new feature.
1. AI is just a fancy storytelling engine now.
2. We're spending more time on robotic verification just to filter out other bots.
It's a weird cycle. Basically just debugging AI hallucinations with more AI.