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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
Article URL: https://haskellforall.com/2026/06/ergonomic-overrides-for-nixpkgs Comments URL: https://news.ycombinator.com/item?id=48430133 Points: 1 # Comments: 0
Thank you, thank you for your support and I want to announce the new update 9.8.3 with a launcher to easily execute code and optimization and bug fixes and addition of a VS Code extension to help you. Don't forget to test the playground if you want to test quickly, I provide you with lots of surprises, Thank you. Modex Github : https://github.com/ouzlifaneyassine1-dot/YSharp-YSharp Web Site : https://ysharp.lovable.app/
Article URL: https://github.com/joseteiadirector/teia-igo-vs-claude-opus-4.8/blob/main/README.en.md Comments URL: https://news.ycombinator.com/item?id=48430117 Points: 1 # Comments: 0
The Dunning-Kruger Effect, Now Available at Enterprise Scale The research is starting to coalesce, with different angles on whether AI is degrading human cognition or not. The right response is not panic--but it's also not dismissal. "Cognitive surrender" (outsourcing one's thinking to AI entirely for a given task) has been creeping into our current zeitgeist as a pre-accepted truth, and researchers have started to examine it more deeply. There are several papers that I think deserve serious a
Article URL: https://vaultsql.com/ Comments URL: https://news.ycombinator.com/item?id=48430113 Points: 1 # Comments: 0
Article URL: https://news.slashdot.org/story/26/06/06/0618217/eus-tech-sovereignty-package-includes-29-pages-on-open-source-says-open-source-initiative Comments URL: https://news.ycombinator.com/item?id=48430110 Points: 2 # Comments: 0
Article URL: https://en.chessbase.com/post/norway-chess-2026-10 Comments URL: https://news.ycombinator.com/item?id=48430098 Points: 1 # Comments: 1
If you train robot policies long enough, you eventually realize the main problem is not launching runs. It is answering these questions fast enough: Is the run actually learning? Is it stuck? Did the reward improve for the right reason? Is one joint or one failure mode quietly ruining transfer? Did the crash already tell us what to fix? This post walks through a practical approach using SimTooReal, a platform built for robotics teams working across Isaac Lab, MuJoCo, Gazebo, and LeRobot workflow
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