AI coding can drift when nobody reviews every change
Using Claude Code for most development work can create a quality problem when it runs in auto mode. If every code change is not reviewed, small edits can pile up until the feature moves away from the original plan and starts to feel messy. Detailed specs, long AI interviews to refine , and for code quality and review do not fully solve the issue.
Even with careful reviews before committing code to Git, it is still unclear how heavy AI users let agents run for much of the workflow without causing feature drift and weak code. The core question is how people like Andrew Karpathy and Claude Code insiders actually structure this process step by step, beyond broad advice like adding safeguards or writing better specs.
Key points
- Claude Code auto mode can produce more changes than one person can review carefully.
- Feature drift happens when many small edits move the product away from the original goal.
- Detailed specs, AI requirement interviews, and may still leave quality gaps.
- The main need is a concrete workflow used by coding users, not vague advice.
- For s, review discipline becomes as important as prompting skill.