Category Archives: AI in Engineering

The Agentic AI Playbook, Part 6 of 7: Assemble a Full Engineering AI Agent Team

A single AI conversation works for focused tasks. When a feature spans backend, frontend, security, and infrastructure, it starts to fall apart. The multi-agent model gives you something different: a cross-functional team — architect, security expert, pentester, DevOps — all working on your feature at once.

AI Is Forcing Architects To Redefine How We Validate Software

AI exposes bottlenecks in manual review, vague requirements and outdated validation models.
This article explains how spec-driven development, architectural truth models and agentic CI/CD pipelines reshape delivery for the AI era.