Tag: AI
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OpenAI’s Symphony offers automated bug-fixing for modern code but struggles with legacy systems like Perl due to its unique complexities. While the free spec excels in clean environments, it falls short in older codebases, causing inefficiencies. Commercial alternatives address these issues, providing tailored AI models and pre-built environments for smoother…
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+ AI, AI Agents, AI Integration, artificial intelligence, Business Strategy, chatgpt, Development Tools, Legacy Code, llm, Open Source vs Commercial, OpenAI Symphony, Perl, Software Automation, Tech Infrastructure, technology+
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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, technology, Starfleet, Security Benefits, Decommissioning, IT Waste, Warp Engines, Cybersecurity, Subtractive Engineering, Wasteful Organizations, System Efficiency, Redundancy, IT Systems, Complex Systems, star-trek, science-fiction+
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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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One day at Zoopla, it hit us: we were moving slowly, people were leaving, and we couldn’t clearly connect our work to the company’s goals—let alone revenue. We didn’t even know where to begin improving. It was draining. We couldn’t keep that for too long. So, we started where we…
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+ AI, AI in development, business, developer experience, developer productivity, DX Core 4, engineering culture, engineering management, feedback culture, measurement frameworks, Peakon, performance metrics, radical candor, software engineering, software-development, team performance, tech leadership, transformational leadership+
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Logical thinking stands in one corner, clean, confident, and structured—ready with sharp conclusions and clear paths forward. But across the ring stands something more elusive: the messy, layered, and unpredictable nature of reality (the quantum realm). Welcome to the journey into “things are not so simple as they seem, even…
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