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I picked up 'The Mountain Is You' expecting a casual read. Instead, it's had me interrogating my own patterns — why I don't follow through, why I wait for perfect, and why I sit in my own feelings without actually understanding them. Three reflections that have been sitting with me.

For years, I wrote code by telling the computer exactly what to do. Shifting to machine learning means letting the data write the rules. This post explores what 'learning' actually means in code, using Tom Mitchell's equation and the supervision taxonomy.

I've been using AI without truly understanding it — calling APIs, fine-tuning models, shipping features powered by things I couldn't fully explain. That gap has started to bother me. This is the first post in Learning Machines, a series where I rebuild my ML and AI foundations from scratch and share the process as I go.

A practical guide to optimizing continuous range queries and evaluating two-way array dependencies using prefix and suffix sum arrays in constant time.

Your app is slow, and you're convinced it's a frontend problem. But what if the real culprit is hiding in your database layer — whispering hundreds of queries when one would do? Here's how the N+1 query problem silently kills performance, and how to fix it before your users notice.