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Spec-driven development (writing formal requirements, design documents, and tasks before code) gives AI coding tools like Kiro a clear, unambiguous target instead of a vague prompt, reducing hallucinated logic and costly rework. Before starting a spec-driven workflow, we recommended a Learn, Iterate, Plan workflow for getting the most out of Kiro's requirements, design, and tasks phases.

The University of St. Thomas ITS Cloud Team promotes AI-Assisted Engineering using well-established practices such as planning, requirements gathering, implementation, documentation, testing, and deployment (DevOps) over "vibe-coding" for official university projects.

An opinionated Internal Developer Platform like Atlantis makes deliberate choices about tooling and workflow so teams spend less time on infrastructure decisions and more on business logic. Key benefits: faster time to value, built-in best practices, and team consistency.

An internal developer platform removes the guesswork from building on AWS by giving teams pre-configured golden paths, reusable starter code, and infrastructure templates. An introduction to the Atlantis DevOps platform adopted at St. Thomas, explaining why it was built, what it provides, and how to scaffold and deploy a production-ready serverless project in minutes.

DevOps is a culture and practice that unifies planning, development, testing, and deployment into a continuous, collaborative loop.