Developer questions whether speed gains translate to product improvements
1 Sep 21 5:34 PM · 2d ago · 1 article · 1 post · 6 comments · 2 sources · development 1 of 2
A commenter raised skepticism about whether AI productivity gains are yielding visible improvements in shipped products, noting that new OS releases ship with fewer features than usual and foundational problems persist.
“While every post and thread feels like a 90's wall street office, the new android and iphone ship with fewer features than usual. No indie guys come up with a linux-sized alternative OS.”
torben-friisLinear Software development tool companyTuomas Linear CTOjulian_digital Linear engineer
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first by HN Best, 2d ago · also HN Frontpage
What people said 6 voices · verbatim
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Here's my constant question:Everyone's going so fast that they keep hitting walls. Review, CI, product asking for things, whatever.Why have we not seen an improvements in products?While every post and thread feels like a 90's wall street office, the new android and iphone ship with fewer features than usual. No indie guys come up with a…
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> Moving our workloads off GitHub Actions to third-party runners with faster CPUs, higher-performance storage, and better cache infrastructure gave us faster machines to run the same pipeline onYeah, was not surprised to read this. Actions is convenient if you already use GitHub, but it can also be pretty slow. Given reliability is also a major…
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My take: it seems like systems should become smaller, more isolated, and contract-oriented.I have been a long time proponent of monoliths, but it seems like agents would be happier with smaller, more isolated services. The more isolated, the better. Contracts between the service components only. Then it can iterate internally as long as it…
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In my case it's not the CI that's the bottleneck. It's the human testing side. Does it work, sure. But does it actually do the thing we want (and more importantly) does it do it in a way our customers will understand and actually like?
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Good thing Linear has been finished for a long time doesn't need more features, so AI coding can go slow. Oh damn, it's busy becoming the next Jira :(
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If you can pay the setup cost, Bazel will get you build times ~10s with a warm cache for even massive projects.
All 2 developments of Linear optimizes CI pipeline as AI agents accelerate code… →
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