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Agent swarms utilize directed acyclic graphs to coordinate multiple agents across research, planning, implementation, and verification phases. This approach solves complex problems that exceed single-agent context limits.

Impact: Deploying swarms allows technical teams to tackle high-complexity features and legacy modernization projects with greater speed and accuracy, though it requires robust governance to manage token usage.

— from AI Native Transformation: Strategy, Swarms, and SDLC Shifts · Product Momentum Podcast· May 13, 2026