nishilpatel

6 ms·

1.
Search engine bots crawled so AI bots could run(stackoverflow.blog)
4 points by nishilpatel 8mo ago|0 comments
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by nishilpatel 8mo ago
Good design makes a product understandable !! Whole PLG motion depends on this.
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by nishilpatel 8mo ago
https://www.reddit.com/r/China/comments/1ppn1rd/china_has_re...
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China reported EUV prototype, what it mean to global chip technology?(eetimes.com)
1 points by nishilpatel 8mo ago|2 comments
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by nishilpatel 8mo ago
Recent reports suggest China has completed a prototype extreme ultraviolet (EUV) lithography machine — a milestone long thought years away — as part of a concentrated state-led effort in Shenzhen. The system reportedly generates EUV light b
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Ask HN: What parts of software testing can realistically be autonomous today?
1 points by nishilpatel 8mo ago|5 comments
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by nishilpatel 9mo ago
BetterBugs | Remote | Full-time | https://betterbugs.io We’re building debugging intelligence for modern software teams. BetterBugs captures rich technical context at the moment a bug occurs and turns it into actionable insights
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by nishilpatel 9mo ago
QA as we know it will shrink. Thinking will not. AI will kill flaky UI scripts, and “click-and-verify” roles. That’s overdue. What won’t disappear is the need to understand how systems actually behave under stress, failure, and ambiguity. T
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by nishilpatel 9mo ago
I agree with the core point: the more pure and deterministic a system is, the easier it is to reason about and test. Reducers + property-based testing push correctness into design, not brittle test cases. One nuance though: property-based t
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by nishilpatel 9mo ago
This resonates. A lot of debugging time isn’t spent finding where the bug is, but unlearning the assumption that “this part is obviously correct.”
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Ask HN: What's the one missing detail that usually makes a bugs hard to debug?
3 points by nishilpatel 9mo ago|2 comments
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Ask HN: What information do you always wish you had when debugging a bugs?
1 points by nishilpatel 9mo ago|0 comments
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by nishilpatel 9mo ago
The LIBR logic is straightforward, but OCR quality, auditability, and evidence integrity are what make this usable in the real world. lawyers care about chain of custody, auditability, and immutability makes this less of an “AI app” and mor
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by nishilpatel 9mo ago
I’m cautiously optimistic about AI, but less about the hype cycle around it. AI (especially LLMs) will likely stay top-of-mind in 2026, but I expect costs to drop meaningfully and capabilities to feel more “infrastructure-like” rather than
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by nishilpatel 9mo ago
That’s true. This kind of writing usually shows up as post-implementation retrospectives, so it’s inherently fragmented. I’m trying to surface and study those scattered examples—especially the ones that explain why decisions were made, not
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by nishilpatel 9mo ago
Fair Observation, HN surrounded by mostly Software guys, which directly add nuances of "Engineering" and <Software> Engineering. but to specific is much important, imo Engineering means "Solving problem at a scale"
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Ask HN: What are the best engineering blogs with real-world depth?
474 points by nishilpatel 9mo ago|141 comments