Agentic AI Replaces Traditional Software Architecture

The shift from request-response AI systems to autonomous agents moves software architecture from static prompt chains to systems that plan, iterate, and make decisions without human intervention between steps. Business logic redistributes: control logic moves from hardcoded workflows and conditional branching into the agent's decision-making layer. This forces engineering teams to rethink testing, debugging, and system reliability in ways current best practices don't address. Companies adopting agentic patterns early gain architectural flexibility that competitors will struggle to retrofit into monolithic, rule-based systems.