https://devopstoolkit.live/development/why-one-ai-agent-is-never-enough/index.htmlWhen I used to give an AI agent a task, it would finish in one go. Write the code, declare victory, done. Now, with th e setup I’m about to show you, the same task can take tens of iterations before the work is considered finished. The output is dramatically better, and I’m spending less time on it, not more. The reason is that there’s no longer a single agent doing the work. There’s a team. One agent writes the code. Another reviews it. A third audits it for security. A fourth ships it. They run on different models, with fresh context each time, and they push back on each other until the work actually holds up. I just play games until something genuinely needs me. In this video, I’ll walk through what that pipeline looks like, why each role exists, and how I run all of it end-to-end. By the end, you’ll have a complete picture of how to set this up yourself, and a slightly uncomfortable realization about what your job becomes when the agents do the coding.Hugoen-us