Blog

Three signals from the market are forming one clear picture – along with a few conclusions we’ve drawn from our own projects. AI is changing the way software houses price, sell, and deliver projects. Traditional billing models (Time & Material), approaches to estimation, and even the definition of a company’s value are all starting to break down. In this article, […]

What this article covers: The technical architecture behind employer-sponsored GLP-1 benefit platforms, including multi-party insurance integration, prescription flow orchestration, eligibility verification, and the backend decisions that determine whether a platform survives at scale. Based on five years of production experience building 9am.health, a virtual clinic serving clients including Amazon, Novo Nordisk and the State of Georgia. What is a GLP-1 […]

What this article covers: The specific challenges of test automation for AI healthcare applications, including HIPAA-compliant test environments, testing audio processing and AI-generated output, BDD implementation for regulated products, and CI/CD pipelines for health apps. Includes a real case from building a QA framework for Mentalyc, an AI-powered therapy documentation platform. What is test automation for AI […]

Healthcare software in Germany, Austria, and Switzerland operates under a completely different set of rules than anywhere else in Europe. The regulatory stack is deeper, the compliance timelines are longer, and a developer who treats a healthcare project like a standard SaaS build will fail, not because they can’t code, but because they don’t understand what they’re actually building. This article […]

Most articles about reviewing AI-generated code start with a checklist. This one starts earlier with the question every checklist skips: should you even be reading this code at all? I know what you’re thinking. But before you answer „obviously” picture a typical Tuesday on a team with high AI adoption. Cursor generates a PR. Then another. Then three more, because someone ran an […]

Hi. I’d like to explain what LLM architecture looks like in practice. What actually happens under the hood? Most of us use AI today. We ask questions, generate code, analyze data. But we rarely stop to think about what’s really underneath it all. And underneath, there is no self-awareness. There is statistics. There is a collection of components that work together to create […]