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AI agents do not fix human team problems. Some think removing people makes software delivery easy. They believe removing politics and personalities solves everything. This is a mistake.
AI agents fail in the same ways humans do. The reason is batch size. Large batches of work create a form of gravity. This gravity pulls projects down.
Think of a village. The people there believe gravity is willpower. When a robot falls, they think it has willpower. We do the same with software. We blame slow or lazy people for failure. The failure is in the system.
Research shows multi-agent AI often performs worse than single agents. Coordination complexity kills the benefit. The problem is structural.
You need a complete pipeline to fix this.
- Automate deployments to make releases reliable.
- Use automated tests to find bugs.
- Add monitoring to see production issues.
These steps lower your batch size. Small batches solve communication problems. They keep complexity low.
Large batches are too heavy. Move your work in a lightweight backpack. Continuous Delivery is the best path. It works for humans. It works for AI.
Source: https://dev.to/_steve_fenton_/gravity-applies-to-robots-40l7 Optional learning community: https://t.me/GyaanSetuAi