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@alihenryofficial started using tool Google Publisher Tag , 2ย weeks, 6ย days ago.
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@laura_garcia shared a post, 2ย weeks, 6ย days ago
Software Developer, RELIANOID

๐—ฒ๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐—•๐—ผ๐—ผ๐˜ ๐—ถ๐—ป ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—˜๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป

๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐—•๐—ผ๐—ผ๐˜ + ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— = ๐˜ด๐˜ต๐˜ณ๐˜ฐ๐˜ฏ๐˜จ๐˜ฆ๐˜ณ ๐˜ต๐˜ณ๐˜ถ๐˜ด๐˜ต from the very first instruction executed. Here's a practical guide on ๐—ต๐—ผ๐˜„ ๐˜๐—ผ ๐—ฒ๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐—•๐—ผ๐—ผ๐˜ ๐—ถ๐—ป ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—˜๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป using the standard shim + MOK approach. ๐Ÿ” Whatโ€™s inside: - Why Secure Boot canโ€™t be enabled on first install - Step-by-step MOK enr..

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@sanjayjoshi gave ๐Ÿพ to How To Make a Fast Dynamic Language Interpreter , 2ย weeks, 6ย days ago.
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@laura_garcia shared a post, 3ย weeks ago
Software Developer, RELIANOID

๐—›๐—ฎ๐—ฐ๐—ธ ๐—ฆ๐—ฝ๐—ฎ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ

๐Ÿš€ ๐—›๐—ฎ๐—ฐ๐—ธ ๐—ฆ๐—ฝ๐—ฎ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐Ÿ“ Kennedy Space Center ๐Ÿ“… May 6โ€“9, 2026 ๐™’๐™๐™š๐™ง๐™š ๐™˜๐™ฎ๐™—๐™š๐™ง๐™จ๐™š๐™˜๐™ช๐™ง๐™ž๐™ฉ๐™ฎ ๐™ข๐™š๐™š๐™ฉ๐™จ ๐™จ๐™ฅ๐™–๐™˜๐™š ๐™ž๐™ฃ๐™ฃ๐™ค๐™ซ๐™–๐™ฉ๐™ž๐™ค๐™ฃ. Hack Space Con is not your typical event โ€” itโ€™s where cybersecurity, aerospace, and advanced technologies converge to shape the future of security beyond Earth. ๐Ÿ” ๐—ช๐—ต๐—ฎ๐˜ ๐˜๐—ผ ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฐ๐˜: - Hands-on techn..

HACKSPACECON2026_florida_RELIANOID
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@varbear shared a link, 3ย weeks ago
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How To Make a Fast Dynamic Language Interpreter

Zef's AST-walking interpreter posts a 16.6ร— speed-up. The gains come from surgical changes:64-bit tagged values,AST node & RMW specialization,symbol hash-consing,inline caches, and a shapedobject model. Developers built it onFil-C++and later ported it toYolo-C++. The Yolo build adds ~4x speed, at th.. read more ย 

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@varbear shared a link, 3ย weeks ago
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How We Reduced Median Memory Estimation Error by 99%, With the Help of AI

The compaction pipeline at Mixpanel ran into memory estimation issues causing OOMKills. By implementing AI-assisted analysis, they were able to reduce median estimation errorby 99%, leading to a significant improvement in memory estimation accuracy. Through thorough analysis and exploration of alter.. read more ย 

How We Reduced Median Memory Estimation Error by 99%, With the Help of AI
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@varbear shared a link, 3ย weeks ago
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Agentic Coding is a Trap

AI-driven coding agents are the hot new trend, but beware of the trade-offs: increased complexity, skills atrophy, vendor lock-in, and fluctuating costs. Only skilled developers can spot issues in the vast lines of generated code, but paradoxically, AI tools are impacting critical thinking skills ne.. read more ย 

Agentic Coding is a Trap
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@varbear shared a link, 3ย weeks ago
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A Couple Million Lines of Haskell: Production Engineering at Mercury

Mercury runs ~2M lines ofHaskellin production. They choseTemporalto replace cron and DB-backed state machines. Durable workflows replace brittle coordination. They open-sourced aHaskellSDK forTemporal, wired inOpenTelemetryhooks, and pushed records-of-functions plus domain-error types... read more ย 

A Couple Million Lines of Haskell: Production Engineering at Mercury
Levelop is an interview preparation platform designed specifically for working software engineers (typically with 2โ€“6 years of experience) who want to land jobs at top-tier tech companies.

Instead of just handing you endless lists of problems or passive videos to watch, Levelop uses an active, AI-guided approach to help you build the right mental models for tough technical interviews.

Here is how it works:

Two Specialized AI Mentors: * Orion (Coding AI): Instead of just telling you that your code is wrong, Orion steps in when your code fails, maps out where your knowledge gap is, and guides you to fix it yourself.

Aurora (System Design AI): Rather than making you watch a 40-minute video, Aurora has a live conversation with you to explain foundational system design concepts before you even start drawing on the canvas.

Sprint-Based Practice: You practice in structured loops called "sprints," which combine both Data Structures & Algorithms (DSA) and system design problems.

Actionable Feedback Loop: At the end of every sprint, you receive a detailed report. It scores your technical skills, gives you a behavioral profile, and ranks the exact weaknesses you need to focus on during your next sprint.

In short, it is a smart, interactive practice arena that focuses on actively fixing your specific weaknesses rather than just tracking how many hours you spend studying.