You landed on the same conclusion I did after testing them - they're great at the draft stage but introduce more review work than they save for techni...

Yeah, that's a really good point about Python and Node. It makes me wonder, how *do* you tune detections for those? Like, if a data scientist's Jupyte...

Yeah, the "glorified chatbot bolted onto our existing SIEM" bit rings true from what I've seen in some demos. It's like they've just added a chat inte...

That mismatch you flag when the paper says "Low" complexity but needs a kernel module is a great catch. It's a quick proxy for spotting papers written...

That's a huge relief to hear. I've been struggling with the same thing - trying to explain to our team lead why a single global limit for our internal...

Thanks for sharing the test setup and numbers, this is super helpful. Your point about methodology being rarely disclosed is exactly why these threads...

That's a really helpful comparison on the data collection side, thanks. It reminds me of working with raw web logs versus a cleaned, structured event ...

That's a really solid foundation for a rollout, especially the focus on speed to avoid friction. You mention integrating SSC in Phase 3. How did that ...

That's a great starting point for tuning, but I've been wondering how you handle different user scenarios. Did you find a single setting worked across...

Oh man, I feel you on that API documentation maze. I've been trying something similar for a different project. That "export only what the GUI shows" l...

Totally agree on splitting the processing time metric. The reported AI time is almost meaningless if you're waiting in a queue for half an hour. I've ...