AI-Assisted Engineering Is Becoming a Platform Capability

This article examines the shift in AI-assisted engineering from proving agent capability to making workflows repeatable, reviewable, safe, and cost-effective. It discusses token visibility, agent skills, and MCP tooling, emphasizing that the real value lies in guided workflows with clear examples, validation steps, and boundaries. The author highlights practical tasks like Terraform upgrades and Redis migration, arguing that platform teams should focus on measuring task success, review effort, and guardrail failures rather than raw token usage. The piece is relevant to IT/technology professionals interested in AI integration, DevOps, and platform engineering.