AI 资讯
How Fast Can You Parse 1 Billion Rows in Java? – Insane Speed Test • Roy van Rijn
Join me in this deep dive where I'll explain all the code changes and tricks that took me from the reference implementation which processes the billion records in 4+ minutes, to processing everything in under 2 seconds. Who knew Java could be this fast? submitted by /u/goto-con [link] [留言]
AI 资讯
Comment your stack — I will tell you what I would check first on a webhook bug
Swap debugging war stories\n\nI have been living in webhook + PHP + email land (Vapi, OpenAI, PHPMailer, CSV logs).\n\nDrop your stack in a comment (even one line). I will reply with the first three places I would look for a silent production failure.\n\nNo sales pitch — trying to meet dev friends who ship unglamorous integration work.\n\nMy builds: elionmusic.com · prayerauthority.com
AI 资讯
Stop shipping a 1990s C library to compute planets. Xalen is the pure-Rust, Apache-2.0 replacement for Swiss Ephemeris.
Stop shipping a 1990s C library to compute planets. Xalen is the pure-Rust, Apache-2.0 replacement for Swiss Ephemeris. If your app does astrology, you already know the dependency. Swiss Ephemeris: a C library from the 1990s, a folder of binary .se1 data files you have to ship and locate at runtime, and a license that is either AGPL or you pay for a commercial seat. For 30 years it was the only serious option, so everyone just swallowed the cost. That era is over. Xalen Ephemeris is a full planetary engine written in pure Rust, with no unsafe in the core engine (the only unsafe lives in the optional FFI, Node and WASM binding crates), released under Apache-2.0. No C toolchain. No data files to ship. No copyleft clause waiting for the day you try to make money. It is built to replace Swiss Ephemeris in production, not to admire it from a distance. Python is live on PyPI and the Rust crates are live on crates.io: # Python pip install xalen # Rust cargo add xalen-ephem xalen-time xalen-ayanamsa xalen-vedic Node and WASM build straight from the repo. Repo: https://github.com/vedika-io/xalen-ephemeris Switching takes one line Xalen ships a pyswisseph-shaped API on purpose. Migrating an existing codebase is a find-and-replace: # before import swisseph as swe # after import xalen.swe as swe jd = swe . julday ( 1990 , 6 , 15 , 10.5 ) xx , ok = swe . calc_ut ( jd , swe . SUN , swe . FLG_SWIEPH | swe . FLG_SPEED ) # same argument order, same SE_/SEFLG_/SIDM_ constants, same tuple layout Your function calls do not change. Your data-file directory disappears. Your license problem disappears. Xalen vs Swiss Ephemeris Line them up and the gap is hard to miss. Swiss Ephemeris is C from the 1990s, shipped as a native library you compile and link, fed by .se1 data files you have to bundle and locate at runtime, under AGPL or a paid commercial license. Xalen is pure Rust with no unsafe in the core engine, thread-safe, with no native dependency and no data files for the analytical eng
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NULLs in ClickHouse can hurt performance
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Light Cone Consistency: I'll Take One Scoop Of Each
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AI 资讯
SwitchBot’s acquisition of Nanoleaf is about more than lighting
Smart lighting company Nanoleaf has been acquired by OneRobotics, the parent company of SwitchBot. In an exclusive interview with The Verge, Nanoleaf CEO Gimmy Chu says the company will remain independent and that he and his cofounder and COO, Christian Yan, will continue to run it. "Nothing is changing operationally," says Chu, adding that there […]
AI 资讯
How Lazy Container Loading Works
submitted by /u/jrdi_ [link] [留言]
安全
How Rockstar fit an entire city into PlayStation 2 memory
submitted by /u/r_retrohacking_mod2 [link] [留言]
科技前沿
How to Block Spam Calls and Spam Texts on iPhone and Android (2026)
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Presentation: Choosing Your AI Copilot: Maximizing Developer Productivity
Sepehr Khosravi discusses the evolution of developer productivity tools. Evaluating the strengths of tools like Cursor and Claude Code, he explains actionable techniques for senior engineers - including context engineering, custom rules, and Model Context Protocol (MCP) integrations. He shares real-world benchmarks and strategic frameworks for balancing AI adoption with clean code quality. By Sepehr Khosravi
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AI Used to Decrypt Medieval Ciphers
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Nvidia’s RTX Spark Laptops Look Hell-Bent on Disruption
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Turn your iPhone into a free Mac controller Discussion | Link
创业投融资
The world’s largest privately owned laser just turned on
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AI 资讯
What’s Worth More Than Cash in San Francisco Real Estate? Anthropic Stock
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开发者
Best Apple 3-in-1 Travel Chargers (2026): Anker, ESR, Satechi
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