The shift from traditional AI pipelines toward agentic systems marks one of software engineering’s most important evolutions. Instead of static models answering isolated prompts, agentic systems can reason, plan, call tools, retrieve knowledge, execute actions, evaluate themselves, and collaborate with other agents. This emerging agentic era forces teams to rethink core infrastructure assumptions around statelessness, latency budgets, security boundaries, and cost attribution.
Building AI-ready infrastructure is no longer about hosting a…
