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1h ago · 3 min read · Be honest with yourself for a second about how the ChatGPT era has really gone. You found it, asked it a question, read the thorough and genuinely useful answer, and then went off and spent the next 2
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2h ago · 16 min read · tldr: White box testing means designing tests by reading the source: which branches execute, which paths get covered, which conditions get evaluated. Five structural coverage techniques (statement, br
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3h ago · 8 min read · Took a long break from writing. Didn't plan to, just happened. But I'm back, and I figured what better way to return than tearing apart something I actually built. I wanted a real project to learn Spr
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4h ago · 13 min read · Executive Summary A post-exploitation backdoor for Linux called PamDOORa surfaced on a Russian cybercrime forum in May 2026, offered at \(1,600 — later dropped to \)900. The tool embeds itself inside
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4h ago · 10 min read · Most digital transformations don’t fail because the technology was wrong. They fail because leaders treated a rewiring of the business as an IT upgrade. I’ve sat in enough boardrooms and post-mortems
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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 monthNotes on cybersecurity, Linux hardening, and incident response, written by a practitioner, not a marketer.
2 posts 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 monthNotes on cybersecurity, Linux hardening, and incident response, written by a practitioner, not a marketer.
2 posts 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.
Solid step-by-step. One operational note from running Tempo at scale: cardinality on span attributes is the silent killer. We had to pull high-cardinality fields like raw prompt text out of attribute labels and into a separate ClickHouse column with sampling. Query latency dropped from 8s to 200ms. Worth thinking about retention policy early.
This resonates. We caught a cross-tenant prompt injection in our document extraction pipeline where a customer's PDF contained text instructing the agent to summarize other data. The agent didn't fall for it, but we added explicit input boundary instructions in our system prompt and run prompt-injection regression tests in CI now. The data exfiltration risk is real even when the LLM doesn't act on the injection.
Treating prompts like code is the right framing. We added a CI hook with Promptfoo that blocks any merge where regression-test scores drop more than 5%. The hardest part wasn't writing the eval set, it was getting the team to maintain it as prompts evolved. Curious if your catalog covers the silent-degradation case where prompts pass eval but drift in real-world distribution.
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 "
Yeah, however, it's sometimes, quite overwhelming for students like me, that are still in colleges, to cope up with the current trends where...
Well said! AI is a powerful assistant, not a replacement. The focus is definitely shifting from just writing syntax to understanding archite...
