Short reads on technology, business, and personal growth from Frankie Ragan — a working developer, builder, and operator writing from Harrison, Arkansas.

Software maintenance after launch covers far more than bug fixes. Business owners should understand the ongoing work required to keep software secure, compatible, reliable, and worth owning.

A practical checklist for business owners deciding what should and should not go into version one of custom software. Learn how to keep scope tight, avoid expensive mistakes, and build the first release around real business value.

Business owners often overload a first software project with too many features. This explainer breaks down why version one should solve one painful problem well, and how that leads to better software decisions.
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Spreadsheets are often the right tool for early-stage business processes—but they become expensive when they turn into mission-critical systems. This article explains where the tipping point is and what business owners should watch for.

Mid-project software changes are not all bad, but they always mean something. This article helps business owners spot whether a change signals healthy learning, poor planning, or plain old scope creep — and what to do next.

A practical checklist for business owners to tell whether software requirements are actually ready for development. Learn how to spot vague specs, missing dependencies, weak acceptance criteria, and other issues before a project gets expensive.
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The median behavioral-health practice loses ~40% of a billing manager's week to manual reconciliation. Here's what better software actually does — and the math on why it usually pays for itself in a year.

A practical checklist for business owners considering a software integration. Learn the 7 questions to ask before connecting two systems so you avoid security problems, bad data, and expensive maintenance.

Northwest Arkansas labor shortages make inefficient software more costly than most business owners realize. This explainer breaks down how bad usability, weak integrations, unreliable data, and technical debt turn software problems into staffing problems.