How do you manage quality when AI agents write code faster than humans can review it?
热度趋势
趋势数据积累中
百分比基于当前可用热度信号，而非评论数或独立用户人数。
一个开发者社区正在讨论如何管理代码质量，因为AI代理生成代码的速度比人类审查的速度快。一种观点认为，应该以AI代理的生产速度发布代码，因为这是使用它们的主要目的。目前正在测试的一种方法是使用bugbot和coderabbit等工具对每个拉取请求进行初步审查，人类只深入审查被升级的问题以及涉及金钱或认证的任何内容。这种方法确实有助于处理代码量，但其在管理质量方面的有效性仍在评估中。
We moved to an agentic workflow this quarter. My position is that we should ship at whatever speed the agents can produce, since that is the entire point of paying for them.
Our CTO's counter is that a team can only safely absorb code as fast as it can read it. If agents 10x the volume, review becomes the bottleneck that decides everything, and he thinks the tech debt won't show up as bad code, it will show up as code nobody on the team can explain.
The middle ground we're testing right now: bugbot / coderabbit gates every PR for a first pass, and humans only deep-read what it escalates plus anything touching money or auth. It definitely helps with the volume. What I can't tell yet is whether we're managing quality or just measuring less of it