Product Quality in the AI SDLC: Why the Auditor Cannot Be the Creator

This story was originally published on HackerNoon at: https://hackernoon.com/product-quality-in-the-ai-sdlc-why-the-auditor-cannot-be-the-creator.
Learn why AI-driven software development needs independent verification, agentic testing, and smarter quality gates to catch bugs and improve product quality.
Check more stories related to undefined at: https://hackernoon.com/c/undefined. You can also check exclusive content about #ai-sdlc, #ai-software-development, #software-testing, #quality-assurance, #agentic-ai, #ai-coding-agents, #ai-test-automation, #good-company, and more.

This story was written by: @qatech. Learn more about this writer by checking @qatech's about page, and for more stories, please visit hackernoon.com.

AI coding agents can generate code faster than traditional review and testing processes can keep up. The bottleneck in the AI SDLC has shifted from code creation to independent verification. This article explores agentic PR testing, risk-based quality gates, and the limits of scripted test automation, explaining why testing agents must operate independently from coding agents to catch bugs, reduce maintenance, and keep product quality high.