Topics
- Data engineering 28 posts
Microsoft Fabric, Azure data platforms, lakehouse design, ETL migrations, data modeling, incremental loads, watermarks, auditability, and the boring control layers that make pipelines reliable.
- AI-native systems 15 posts
How AI fits into real workflows without turning everything into a black box — especially systems where AI assists, but deterministic logic still owns the final action.
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Ollama, OpenWebUI, SearXNG, local models, homelabs, GPUs, self-hosted tools, and the tradeoffs between local control and cloud convenience.
- Systems tinkering 13 posts
3D printing, Raspberry Pi, SBCs, OpenWrt, pfSense, Proxmox, Unraid, embedded devices, LTE/5G modules, routers, sensors, and other useful rabbit holes.
- Product architecture 11 posts
Small tools, solo SaaS ideas, anti-bloat thinking, workflow design, and the line where a useful feature starts turning into a platform.
- Knowledge systems 6 posts
Markdown, search, documents, structured notes, versioning, retrieval, and the problem of keeping information useful after the initial excitement wears off.
- Applied experiments 17 posts
Domain-specific systems: recipe versioning, genomics data, smart agriculture, multilingual media, privacy tooling, and other workflows that are really software problems in disguise.
Series
A few throughlines worth reading in order — the same idea chased across different projects.
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Data failures that stayed green
Pipelines that reported success while producing wrong data — and the cheap, boring checks that would have caught them.
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Hardware the spec sheet lied about
What the datasheet number hides, learned by buying the wrong thing first.
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AI, and the work you can check
Where automation is safe, where it silently lies, and why the verification boundary is the whole design.
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Day two, when the demo has to run
The operational maturity that decides whether a system survives past the launch it looked great at.