ArticleAI Governance for Apps: A Practical Team Checklist
A simple, evidence-based checklist to help teams adopt AI in apps safely, clearly, and without slowing delivery.
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securityApp Security in the AI Era: New Attack Surface, Same Discipline
AI features add genuinely new attack surface, prompt injection, data leakage, over-permissioned agents, on top of the classic risks that never went away.
MVPShipping an MVP With AI Tooling: Faster, Yes, but Different
AI coding tools compress an MVP timeline from months to weeks, but they change where the risk lives. A field guide to shipping a first version the modern way.
app stackThe New App Stack: What Teams Are Actually Shipping With in 2026
The modern app stack has quietly reorganised itself around AI: a typed web core, a model gateway, retrieval as standard plumbing, and evals in the CI pipeline.
build vs buyBuild vs Buy in 2026: The Calculation Has Changed
AI tooling has slashed the cost of building custom software, but it has not slashed the cost of owning it. Here is how to make the build vs buy call honestly in 2026.
modernisationModernising a Legacy App Without Stopping the Business
Rewrites fail more often than they succeed. Here is a staged approach to modernising a legacy app that keeps revenue flowing while the old system is retired piece by piece.
AI nativeWhat Makes an App Truly AI Native, and What Is Just a Chatbot Bolted On
AI native is not a feature checkbox. It is an architectural stance where models shape the data layer, the UX, and the economics of the product from day one.