Tag: technology
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Perl is still standing strong in 2025 because it prioritizes backward compatibility and text-processing speed. While Python is the language of AI, Perl remains the “glue” of the internet. I have my own hate-or-love relationship with Perl. And if I were to choose, I’d choose c, but if I am…
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Look, let’s be honest. Working with React is often a joy, but sometimes (or many times?), the performance gotchas make you want to scream (and bang your head on the wall). You write “clean code”, you use your “hooks” correctly, and yet, your application feels sluggish because some overly-eager component…
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Starfleet s one of the most wasteful organizations in an imaginary world. It’s a total head-scratcher. Standard is three live backup systems for each live system? It’s like, a true engineer starts from a redundancy, LOL. I wonder how much faster their warp engines could be, if they decided to…
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+ AI, artificial intelligence, Complex Systems, Cybersecurity, Decommissioning, IT Systems, IT Waste, Redundancy, science-fiction, Security Benefits, star-trek, Starfleet, Subtractive Engineering, System Efficiency, technology, Warp Engines, Wasteful Organizations+
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Look, I’ve had a truly genius idea for an incident management tool (inspired by a conversation with a fantastic work colleague), and I’m pretty sure it’s the only honest one out there. I call it “Stoopid Uumans“, or “SU” for short. You know, like “super user” in development, but in…
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+ AI, artificial intelligence, Creative Writing, Fantasy, Funny, Humorous, Incident Management, IT, life, Parody, Sarcastic, Satire, Software Development, Story, technology, Vampire the Masquerade, writing+
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DBT, or Data Build Tool, has become a popular choice for data teams, but it’s not the right fit for ?any? situation. While it offers a structured approach to data transformation, organizations will benefit from sticking with a simpler, more direct method: SQL transformations. Hahahahaha. The die is cast –…
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+ AI, artificial intelligence, azure, Data Analytics, Data Engineering, Data Modeling, Data Pipelines, Data Quality, Data Transformation, dbt, ELT, ETL, Jinja, Meme, SQL, Technical Debt, technology, Technology Debate, YAML+
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Deliberations on ownership to understand why it’s hard to own an AI model. Legally, ownership is defined by proprietary rights, patents, and data control, yet philosophically, AI exists in a liminal space between creator and user, between programmed rules and emergent behavior. If an AI model is trained on collective…
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Gustaw Fit Blog 