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I write about engineering leadership, system design, and the uncomfortable truths behind tech’s productivity myths. Background in Node.js, React, TypeScript, and AI-driven architectures.
From Ukraine, currently working remotely with US-based companies. Obsessed with data, performance, and reducing noise in engineering management.
Interests:
Systems that improve engineering velocity without adding bureaucracy
AI in production (not demos)
Hiring accuracy, 90-day trials, and retention frameworks
The intersection of engineering culture, quality, and economics
- Apple Calculator: 32GB RAM leak - Spotify on macOS: 79GB memory consumption - CrowdStrike: One missing bounds check = 8.5M crashed computers - macOS Spotlight: Wrote 26TB to SSDs overnight
Meanwhile Big Tech is spending $364B on infrastructure instead of fixing the code.
I wrote up the full analysis with citations: https://techtrenches.substack.com/p/the-great-software-quality-collapse
But the real question: When did we normalize this? What happened to basic quality standards?
What are you seeing in your organizations?