Your AI Agent's Pull Request Looks Clean. That's the Problem

This story was originally published on HackerNoon at: https://hackernoon.com/your-ai-agents-pull-request-looks-clean-thats-the-problem. AI-generated code looks just as clean as human code in review. That is exactly the problem: review was built to catch reasoning, not syntax. Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #code-review, #ai-assisted-coding, #application-security, #llm-sec, #ai-security, #ai-code-ownership, #github-ai-pull-request, #hackernoon-top-story, and more. This story was written by: @bhaskarsecuresai. Learn more about this writer by checking @bhaskarsecuresai's about page, and for more stories, please visit hackernoon.com. Code review was built to check whether a human understood the tradeoffs behind their own change, not whether the syntax is valid. AI-assisted development breaks that quietly, because AI-generated code looks identical to carefully human-written code in a diff. A worked example (a retry wrapper that looks textbook-correct but hides every real decision behind it) shows what gets lost, and what two changes, capturing generation provenance and making review records state what was actually checked, would actually fix.