Starting a new back-end development project, or even being tasked with improving an older one, can be daunting. This checklist will help you improve your starting point and advance projects through an iterative improvement process. Not everything will be perfect, but you can always leave it in better shape than you found it.
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.
Opinionated DevOps platforms give AI coding assistants the consistent conventions and structure they need to generate trustworthy, reliable output. Pairing AI-assisted engineering accelerates scaffolding, lowers cognitive load, and strengthens guardrails against AI-introduced drift across the DevOps lifecycle.
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.
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.
DevOps is a culture and practice that unifies planning, development, testing, and deployment into a continuous, collaborative loop.