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The Data Engineering Roadmap for 2026 👇 Check this out before it’s too late. AI won’t make Data Engineering irrelevant. In fact, it’s the exact opposite: Reliable, well-governed, and accessible data becomes the ULTIMATE bottleneck when companies start deploying AI agents and LLMs at scale. No good data = no good AI. If I had to start from scratch today, here is my exact step-by-step framework: 1. The Fundamentals: Master SQL and Python. Learn data modeling, APIs, Git, Linux, and Docker. 2. Orch
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Something big just shifted in how the best operators are thinking about AI. The founders of Open Claw and Claude Code both said the same thing this week. Stop prompting your agents. Start designing loops. A prompt is one instruction. A loop is a machine. Instead of telling your agent to do a task, a loop says keep working until this outcome is complete, check that it is done, fix what is missing, and keep going until you get there. This is a completely different way to think. I knew this princip
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