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49m ago · 8 min read · Cybersecurity looks intimidating when you first enter the field. You see people talking about red teaming, malware analysis, reverse engineering, web exploitation, SIEMs, zero-days, Active Directory,
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57m ago · 24 min read · Most engineers assume their Kubernetes cluster encrypts all of its traffic. It doesn't. The commands you run with kubectl are encrypted — your client and the API server speak TLS. The API server talki
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2h ago · 2 min read · Netomize is happy to announce the release of a new HTTP fingerprinting algorithm called HTTP-Basma to identify HTTP servers using a reversible fingerprint codenamed verbosus. In the realm of cybersecu
Join discussion2h ago · 10 min read · It was a regular working day when the first alert landed. Kubernetes health check showing the control plane was degraded. I'd seen these before. Usually a quick look, a quick fix. Then I ran kubectl g
Join discussion4h ago · 6 min read · In this series, I’m learning Docker and Kubernetes security by building a phishing URL scanner and applying security practices along the way. This is Part 2, where I move the Kubernetes setup from my
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Hey, I’m Ahmer — a Software Engineering student & full-stack dev sharing projects, dev logs, and lessons from the code trenches.
2 posts this monthAPEX, ORDS & the Oracle Database
1 post this monthHey, I’m Ahmer — a Software Engineering student & full-stack dev sharing projects, dev logs, and lessons from the code trenches.
2 posts this monthAPEX, ORDS & the Oracle Database
1 post this monthExcellent article, Jessica! You explained the importance of accurate medical image annotation in healthcare AI very clearly and professionally. The way you connected data quality with real-world medical outcomes highlights how critical precision is in AI-driven diagnostics and patient care. As healthcare AI continues to evolve, high-quality annotation will truly become the foundation for reliable and ethical AI systems. Looking forward to reading more of your insights on medical imaging and AI innovation!
I began learning C++ at university, but I never quite got comfortable with it before losing interest.
That’s a solid point. Software development really benefits when engineering principles come first, not just quick delivery. Planning, system design, and reliability still matter a lot, especially when building products that scale. It’s similar in service businesses too—Sawtransfer works better because the process is planned like an engineering system, not just random transport booking. Strong systems always create better user experiences.
This explains one of the biggest misconceptions around AI-assisted development right now: people think faster code generation automatically means faster software engineering. But the real bottleneck was never typing code — it was understanding systems, constraints, tradeoffs, scaling behavior, and long-term maintainability. The “vibe fixing” part especially feels real. A lot of teams are accidentally replacing deliberate engineering with endless prompt-repair cycles that only look productive on the surface. Feels like the companies that survive this shift won’t necessarily be the ones gener
This is an interesting framing of the context problem — I especially agree that a lot of failures in software projects come from unclear requirements rather than execution. Even in simple tools like [IPPT Caculator] https://sgipptcalculator.com/ if the problem isn’t defined properly, you end up rebuilding things multiple times. That’s why I try to keep my own projects very focused and minimal from the start.
The short answer is no, but it will change how we work. AI is a tool that handles boilerplate and syntax, leaving us more room to focus on architecture and problem-solving. The future belongs to the "
Well said! AI is a powerful assistant, not a replacement. The focus is definitely shifting from just writing syntax to understanding archite...
AI is more likely to automate repetitive coding tasks than completely replace software engineers. Skilled developers will still be needed fo...
