Insights on software engineering, web architecture patterns, distributed systems, web performance tuning, and the JavaScript/TypeScript ecosystem.
Every conversation with your AI starts from scratch, and that costs tokens. Graphify turns your project into a queryable map so it does not reread everything each time. How it works, when it really saves tokens, and when it does not.
AI does not exist all the time: it spins up like a video game session, only when you invoke it. Behind every prompt lie layers of human work, from whoever wrote the training data to whoever decides how much water each query really costs.
A former OpenAI and Anthropic employee warned AI could end humanity. Should we panic? A look at why no company will replace everything with AI, its real physical limits, and why humanity has feared this kind of progress before.
Have you actually read the README your AI generated? Markdown files are not just decoration: they are the context both humans and AI need to understand your project without getting lost. Here is which ones matter and why.
What actually keeps software standing over time? It is not the server or the language, it is the architecture. Using the Jenga analogy, this article explores why thinking about structure from day one keeps your project from collapsing.
How many languages do you need to master to be a true developer? In an industry that promises to turn people into experts in a weekend, many memorize syntax without learning how to structure a real solution—like recognizing the controls of ten different cars without knowing how to drive any of them.
Grab a coffee with me: weekly notes and real lessons on software architecture, artificial intelligence, modern tech, web performance, and engineering craft. Zero fluff, straight to the point.
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