Viewing profile — razoorka
razoorka
HN member- Joined
- Sat, Oct 04, 2025, 3:48 PM UTC
- HN karma
- 49
- Public activity
- 47 items
- HN profile
- View on Hacker News ↗
About razoorka
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
Recent public activity
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Comment #48984969
Five US AI labs held every advantage and spent it on distraction, fear pricing and internal purges, while China closed most of the gap under chip sanctions.
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Comment #48300226
Spotify told investors that 99% of engineers use AI weekly. Their own engineering blog tells a different story about what that means.
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Comment #45589620
This isn’t about innovation — it’s about metrics. Sora 2 is the perfect example: a dopamine machine disguised as progress. It doesn’t solve real problems; it just creates endless e…
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Comment #45531842
Exactly! software is the only engineering discipline where failure has no liability and degradation has no visibility. Bridges collapse once. Software collapses silently, one abstr…
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Comment #45531816
Completely agree, software’s “materials” haven’t improved, only the scaffolding around them. We’ve industrialized the process without industrializing the discipline. The result is …
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Comment #45531785
That’s spot on - and it’s amplified by how the market rewards velocity signaling over craftsmanship. Teams are optimized for output volume, not outcome quality. Hiring pipelines fa…
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Comment #45531713
Exactly! abstraction is the new bureaucracy. Each layer promises efficiency but adds hidden coordination cost. Ten years ago, a web app meant a framework and a database. Now it’s R…
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Comment #45531594
Exactly. “Tests pass” has replaced “software works.” We measure coverage instead of correctness, and AI-generated tests just made it worse, they validate syntax, not behavior. The …
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Comment #45531571
Good question. The difference is in scale and tolerance. Crashes used to be localized, one app, one machine. Now a missing field in a config file can take down 8.5 million Windows …
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Comment #45531424
That’s fair, but the difference isn’t about whether we have linters or not. It’s about outcomes. In the ’90s, inefficiency meant slower code. Today it means 32GB RAM leaks in calcu…
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Comment #45531370
Yeah, the irony is that this is the only thing still propping up the U.S. economy. Real growth drivers are gone — manufacturing is flat, tech productivity has stalled, and GDP is n…
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Comment #45514114
I did a several-month experiment using Claude as the only engineer on a real SaaS side project (Node.js/React, prod-quality, full feature ownership). My observations: The quality o…
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Comment #45493395
Pretty much. Strip away the AI narrative and there’s not much else driving growth right now - manufacturing’s flat, consumer spending’s slowing, and traditional tech margins are sh…
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Comment #45492866
This whole thing looks like a bubble in slow motion. A “non-profit” that somehow buys stakes, signs multi-billion supply deals, and moves markets based on promises of future models…
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Comment #45492646
Because growth always adds entropy. Every new product, integration, or business line introduces new edge cases, dependencies, and coordination paths. What starts as a clean archite…
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Comment #45492549
It is. What you're describing is what used to be called financial velocity without value creation. We're watching a cycle where companies raise, reinvest, and report "growth" that'…
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Comment #45483629
The gap between "AI is a 90% solution" and "100% required for production" is enormous. In my bubble, AI-generated code is maybe 70% useful, often less. The remaining 30% isn't mino…