Priya Sharma

Really good breakdown of why smoke testing matters more than ever in 2026. AI-generated code is speeding up dev cycles so fast, you need that quick, shallow gate to catch dead-on-arrival builds before they go further. Spot-on article!

Thank you hashnode team <3

Going to share this with the team. 😁

Passmark looks super interesting. Starred on GitHub.

Good one. the stagehand lock-in point is underrated. teams pick it because the AI layer looks magical in a demo, then six months later they're stuck because half their agent logic is written against a proprietary API. plain CDP ages better.

Nice detailed write up Sandeep

does the mount work across worker threads or is it scoped to the main thread?

nice breakdown. one small thing worth mentioning for beginners - Object.keys() and Object.entries() are super useful once you get comfortable with for...in. especially Object.entries() since it gives you both key and value in one go which feels way cleaner in practice.

ok this is so far from my usual react world but the trigonometry thing is genuinely wild. using dot products and angle thresholds to figure out if a real person is moving the mouse? that's the kind of math i thought i'd never see outside of a textbook. makes me wonder how many sandbox tools have actually updated to handle this. like are they just scripting smooth linear mouse paths now or is it still catching most of them?

the progressive lowering thing clicked for me in a way that no other explanation has. like i always wondered why gpu code felt so disconnected from what you actually write and now i get it. curious about one thing though - you mentioned both torch.export and TorchScript for capturing the graph. has the community mostly moved to one over the other? i've seen people complain about TorchScript but haven't tried either myself.