Running Collaborative Development Teams in the Agentic Software Era
Encrypting an API connection is only the beginning. Sensitive agent workflows must protect data, identity, authority, and evidence across every handoff. AI agents are moving into the most sensitive parts of the enterprise. A healthcare agent may summarize a patient record, coordinate prior authorization, or prepare clinical documentation. A financial
The first great cloud battleground was infrastructure as a service. Who could provide the most reliable compute, storage, networking, and global regions? The next battleground was platforms and managed services. Who could provide the best databases, analytics, developer tools, security services, application platforms, and machine learning infrastructure? Then came AI
The next infrastructure advantage will come from optimizing complete AI pipelines, not isolated model calls. For the first generation of enterprise AI, infrastructure economics were reduced to a familiar question: How cheaply can we run this model? That question is becoming obsolete. A production AI request is rarely a single
How to give AI agents direction without teaching them to game the system Every agent has an architecture you can see: a model, tools, memory, orchestration, identity, and an execution loop. It also has an architecture that is easier to miss. Somewhere in the system is a definition of “better.