Capstone IT

Engineering Papers

Deep technical work on the architecture, failure modes, and engineering practice of agentic AI for software development.

About This Series

These papers go beyond introductory coverage to address the structural engineering challenges that determine whether agentic AI workflows succeed at scale—failure taxonomy, workflow architecture, sub-agent design, remediation patterns, and the human review practices that underpin it all.

Engineering Series — 9 Articles
Agentic AI for Software Development

A complete engineering methodology for teams building with AI coding agents. The series opens with a sixteen-mode failure taxonomy organized into four priority tiers, then constructs the structural defenses that address each one: workflow architecture, sub-agent design patterns, checkpoint verification, provenance chains, goal-fidelity checks, and a human review runbook calibrated to risk level.

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Need a Team That Builds This Way?

Capstone IT fields developers who understand how agentic AI workflows fail and how to build them so they don't. If you're standing up AI-assisted development at scale, we'd be glad to talk.

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