Your AI Is Grading Its Own Work. That's Why Your Codebase Is a Mess

This story was originally published on HackerNoon at: https://hackernoon.com/your-ai-is-grading-its-own-work-thats-why-your-codebase-is-a-mess. A practical two-AI engineering workflow: Claude Code builds, Kimi reviews independently, and a human makes the final go/no-go decision. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #agentic-engineering, #agentic-systems, #ai-for-software-development, #ai-coding-agents, #claude-code, #kimi-k3, #production-ready-ai-code, #human-in-the-loop-ai, and more. This story was written by: @mrclhnz. Learn more about this writer by checking @mrclhnz's about page, and for more stories, please visit hackernoon.com. A two-model engineering loop replaces AI self-review: Claude Code plans and builds, Kimi K3 independently reviews specs and pull requests, and a human retains the final go/no-go decision. Fresh sessions, isolated worktrees, severity-based findings, and written review dispositions make AI-generated code more reliable and auditable.