Toots from 2025-05-08#
OH: 27 services in a trenchcoat#
OH: 27 services in a trenchcoat
Mastodon Source 🐘#
Started a book club at work to read thorugh the excellent <https://learning.oreilly.com/library/v…#
Started a book club at work to read thorugh the excellent https://learning.oreilly.com/library/view/designing-machine-learning/9781098107956/.
I’m leading the first session for Chapters 1 & 2. Very curious to get everyone’s take on: “🌶️ Is the ML Software Development Life Cycle very similar or very different than “normal” SaaS development?”
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“Now, the idea that post-incident work from higher-severity incidents has greater impact than p…#
“Now, the idea that post-incident work from higher-severity incidents has greater impact than post-incident work from lower-severity incidents is a reasonable theory, as far as theories go. But I don’t believe the empirical data actually supports this theory.”
Mastodon Source 🐘#
“Vibe coding sidestepped all of that. The dev setup challenges were virtually nonexistent, I ju…#
“Vibe coding sidestepped all of that. The dev setup challenges were virtually nonexistent, I just followed the Cursor prompts. Errors were solved by copy/pasting into Cursor. I didn’t even read the code that was generated.”
https://jeanhsu.substack.com/p/my-first-vibe-coding-project-the
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“Model weights, decoding parameters, and prompts co-evolve. The combinations of these artefact…#
“Model weights, decoding parameters, and prompts co-evolve.
The combinations of these artefacts must be versioned, tested, and rolled out with the same discipline we apply to traditional machine learning models, container images, or microservices.”
https://leehanchung.github.io/blogs/2025/04/30/ai-ml-llm-ops/