From Side Project to AI Skills Business: An Honest Retrospective

<p>Every builder has a project that feels a little different from the rest.</p> <p>Not just another repo. Not just another experiment. The one that makes you think, "If I took

<p>For most of my career, I believed something a lot of technical people quietly believe:</p> <p><strong>If you build something genuinely good, people will notice.</strong></p>

<h2> The Lie We All Agreed To Tell Each Other </h2> <p>MVP. Minimum Viable Product. The word <em>minimum</em> is right there, doing nothing.</p> <p>Ask any founder how long their

<p>The software world solved dependency management decades ago. npm, pip, cargo — these tools transformed how we build by making code reusable and discoverable. But in the AI

<p>I wanted to validate a startup idea before writing code. So I tested every free AI startup idea validator I could find in 2026 — same idea across all of them.</p>

<p>Last year I was hiring my third virtual assistant. The first one was great but moved on. The second ghosted after two weeks. By the time I was writing yet another job post on

<p>There’s an uncomfortable truth about most AI products today: your data isn’t just part of the system—it is the system. It’s collected, analyzed, and quietly turned into

<p>Most coding platforms train engineers to solve isolated algorithm problems.</p> <p>But in real engineering, you rarely reverse linked lists.</p> <ul> <li>You debug production