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Technical insights from real experience. These articles share architectural decisions, engineering patterns, and trade-offs that help teams build reliable systems and avoid costly mistakes - the same principles I apply with clients.
Why My Telegram Saved Messages Became a Graveyard - And How I Fixed It With AI
I had 800+ items in Telegram Saved Messages - articles, diagrams, product ideas - and never went back to any of them. Not because I was lazy, but because the system was broken by design. This is how I built a small, boring pipeline that automatically captures, tags, and organizes everything using AI - and what it taught me about building systems that actually get used.
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A concise, practical analysis of project-level AI instruction files used by Claude, Cursor, and GitHub Copilot. Covers why certain formats became popular, how they differ in practice, and what setup delivers the best results without unnecessary complexity.
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