I let AI write 100% of my code for 30 days. Here’s what broke

说明与用途

AI 能快速生成脚手架和模板代码，但无法保持系统整体一致性，可能产生看似正确但错误的代码，并忽略边缘情况。人类审查和角色分离对生产至关重要。

问题

Can an AI generate all application code without human coding, and what failures arise when relying solely on AI for production code?

结果

AI can rapidly scaffold and boilerplate code, but struggles with system‑wide coherence, subtle logic errors, debugging, and edge‑case handling. Human review and separate roles are essential to catch plausible‑but‑wrong code and maintain architecture integrity.

工作流

• 1. Set rules: no hand‑coding, AI writes, reviewer approves, breaks logged after >1h stuck
• 2. Prompt AI for scaffolding (Next.js, Postgres, Drizzle, auth)
• 3. Generate boilerplate (CRUD, Zod, table component)
• 4. Review AI output, reject or re‑prompt as needed
• 5. Log breaks when AI fails to hold system coherence, writes wrong logic, or over‑adds features
• 6. Fix breaks manually after AI fails to resolve
• 7. Iterate until product is production‑ready
• 8. Implement guardrails: separate author, reviewer, and merge gate

证据

The AI optimizes locally. Coherence across a system is still a human job.

来源

The billing webhook handler it wrote acknowledged Stripe events before persisting them.

来源

When something broke that the AI couldn't see, asking it to fix it produced changes, not fixes.

来源