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Sandor Muranyi
Principal Architect at Aliz
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Agentic Migrations on an Agentic OS - Story Time

· 12 min read
Sandor Muranyi
Principal Architect at Aliz

I don't know how many people I've told what my approach to AI and the whole industry was (and still kinda is). In short: with over 25 years in IT, having grown up on the C64 and Debian Potato, and loving coding, I really hated it. I still hate some parts. Not just because I thought it takes away the part of my job I love (or thought I loved), but also because the industry is at its lowest point right now in a lot of ways. And if that's not enough, it's all (mainly) driven by FAKE money and business. Yes, I like some conspiracy theories.

This post is about how and why I've recently taken a bit of a different direction: why I now use Omarchy at home, an agentic OS created by DHH, a deeply polarizing figure who praises AI like a god, and why I trusted AI agents to migrate my Java simulation game to C# and have been developing heavily with agents ever since.

Telemetry Fixes & Updates

· 10 min read
Sandor Muranyi
Principal Architect at Aliz

This is a small update regarding the AI Telemetry. The telemetry rollout was a long process due to resourcing issues and the rapid change of the harness APIs. It provided us a good amount of data, but every now and then it was questioned by people whether it showed the real data.

As we do not have that many people on the bench right now, I decided to spend some time on it, check what we have, what we don't have, and what needs to be fixed.

20 PRs, including 70 commits, were merged in after 2.5 days of vibe coding.

Aliz AI Telemetry: Q3 2026 Review

· 8 min read
Sandor Muranyi
Principal Architect at Aliz

OpenTelemetry usage data · July–September 2026 · first quarterly review

AI activity at Aliz is substantial, and September brought a clear jump in agentic workflow activity. But the strongest workflows still have limited recorded reach, while cost and usage are concentrated among a relatively small set of aliases.

The next phase of AI Transformation should not be “use more AI.” It should spread the practices that already work, strengthen quality loops, and connect AI activity to delivery outcomes.

Aliz AI Survey 2026 Q3 Results

· 16 min read
Sandor Muranyi
Principal Architect at Aliz

Internal survey · engineering AI adoption · wave 1 vs wave 2

Two identical-sized samples, four months apart. 42 responses in March 2026, 42 in July 2026. Every question in both questionnaires is charted below. Wave 2 added five questions and several new answer options; those are marked in green and have no baseline.

How to read the charts: grey bars = March 2026 · dark‑green bars = July 2026 · bright‑green bars = answer options new in wave 2.

Mean maturity level: 3.6 → 5.4 (+1.8 levels).At level 5 or above: 31% → 74% (13 → 31 people).Use no agentic features: 24% → 2% (10 → 1 person).Review every line: 57% → 26% (24 → 11 people).