<h2> The Problem We Were Actually Solving </h2> <p>Our users werent doing semantic search. They were executing treasure hunts: complex, multi-stage queries where the first phase
<h2> The Problem We Were Actually Solving </h2> <p>As I dug deeper into the requirements, I realized that we were trying to optimize for speed and responsiveness at the expense of
<p>I need to tell you about the time I confidently presented a latency budget to a stakeholder and then watched it disintegrate in production like wet tissue paper.<br /> <br />
<h2> The Problem We Were Actually Solving </h2> <p>We had built the Treasure Hunt Engine to power in-game treasure hunts that reward players for exploring content. At 100 000
<h2> The Problem We Were Actually Solving </h2> <p>We werent building a generic scale story; we were protecting a money-printing loop. The treasure-hunt engine awarded cash prizes
<h2> The Quest Begins (The “Why”) </h2> <p>I still remember the first time I walked into a technical interview feeling like a kid who’d just shown up to a lightsaber duel with a
<p>Your AI system isn't going to crash. It's going to drift.</p> <p>A recommendation engine making 1.4 model calls instead of 1. A retrieval pipeline fetching 5 chunks instead of
<p>I read the phrase "spec-driven development" and immediately decided it was for people without taste. Six months later, Claude Code generated a discount system that applied
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