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Common Problems in AI-Generated Frontend Code and How to Avoid Them

Over the last year, I’ve reviewed about a dozen projects where AI was used heavily in development. These were real products with real users, built fast and shipped to production. Most worked fine. Some had interesting patterns that kept showing up across different codebases. These aren’t unique to any one team or project, they’re just common things that happen when AI writes code and humans skip the review step. Here’s what I noticed: AI is exceptional at writing code quickly. It’s less aware of

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ExternalSoftware Engineering
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NIS2 e le PMI: chi è obbligato davvero, e la parte software che ti chiederà il cliente

«NIS2» è diventata una di quelle sigle che generano più ansia che chiarezza. La prima cosa utile da sapere è anche la più rassicurante: la maggior parte delle PMI non è direttamente obbligata a NIS2. Il motivo per cui potrebbe riguardarti comunque è un altro, meno noto, e sta nella catena di fornitura. Questo articolo separa gli obblighi reali dal panico, e si concentra sulla parte che chi sviluppa software può affrontare davvero: il codice, gli accessi, i dati. NIS2 è la direttiva europea sulla

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ExternalSoftware Engineering
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A Backend Engineer's Field Notes on Cheap AI APIs in 2026

A Backend Engineer's Field Notes on Cheap AI APIs in 2026 Last quarter, my team's LLM bill crossed five figures and someone — not naming names — got an email from finance. So I went down the rabbit hole of comparing every API I could find, ranked them by output price, and figured out which models actually earn their place in a production stack. These are my notes, and yes, the numbers are real. The short version: the gap between the cheapest and most expensive API on the same platform is genuine

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