<h1> Building Local-First AI Apps: What Changes When the Data Stays on the Device </h1> <p>AI applications are usually designed around a cloud-first architecture:</p>
<p>I lost two hours of work last Tuesday because my internet went down for eleven minutes.</p> <p>Not because I was using some exotic cloud-dependent tool. I was editing a
<p>Most apps assume you're always online. But 3.4 billion people have unreliable or no internet access.</p> <p>I'm a full stack developer based in the Dominican Republic. One of
<p>When we started building a Point of Sale (POS) system for restaurants, we assumed one thing:</p> <p>Internet will always be available.</p> <p>That assumption didn’t last
<h1> Local Models vs Cloud Models — The AI Advantage Is Moving From Access to Infrastructure </h1> <h2> Core thesis </h2> <p>AI is no longer new.</p> <p>The question isn't
<p>Offline reads are relatively straightforward. Put data in SQLite, query it locally, and render the result. Offline writes are where things get uncomfortable.</p> <p>What
<h1> CRDTs and Local-First Architecture: How smallstack Handles Offline Conflict Resolution </h1> <p>Most web apps treat the network as a prerequisite. No connection? You get a
<p>When building personal finance software, standard engineering advice says: </p> <blockquote> <p><em>"Spin up Supabase, plug in Plaid for automatic bank scraping, and
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