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As AI coding agents become more prevalent, software teams will need to adopt highly modular architectures like Uber's microservices approach to run multiple agents in parallel effectively. Previously extreme modularity overhead is now negligible since agents can generate boilerplate and infrastructure code, while small, context-fit modules significantly improve agent performance. Teams that fail to modularize risk coordination bottlenecks and merge conflicts that could negate the productivity gains of parallel coding agents.
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