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Technology Brief@technologybrief Python, Linux, networking, Git, SQL, embedded systems, and cloud computing are still doing a huge amount of the actual work behind modern tech. AI has changed how people write code, but it hasn’t removed the need to understand what the code is doing, where it runs, how systems talk to each other, or how data moves around. That’s why the useful skills in 2026 aren’t necessarily the newest ones. Knowing Linux makes servers and security tools less mysterious. Networking helps you understand what happens between devices instead of treating the internet like magic. SQL gives you direct access to the data companies actually care about. Git keeps your work organized when projects stop being small. The biggest shift is that these skills now work even better when paired with AI. Someone who understands the fundamentals can use AI to build faster, automate more, and troubleshoot problems without blindly trusting whatever gets generated. The tools will keep changing. Understanding the systems underneath them is what stays valuable.
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@angelgird2929 I have all of them in my resume except embedded systems
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@littlehorn57 @patism_
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@makesmeangry Only networking. The rest are irrelevant cos AI has taken over them
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@annqvu Love seeing Tux in the last image. IYKYK . Good list. I worked in the Commercialized Embedded Linux industry for many years! Later AI. Earlier in the OO Language market. A Xerox PARC Spinoff! Love technology!
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@limitlessxmarketing 💻💻💻
@cafe_mit_kafka Python isn’t really a language for Cybersecurity… best thing someone getting into Cyber can learn is Bash commands, SQL, docker… really anything Linux/server related.