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@basit001 created an organization Levelop.dev , 14 hours, 1 minute ago.

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@laura_garcia shared a post, 1 day, 4 hours ago

Software Developer, RELIANOID

𝟭𝟴𝟰 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗰𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹 𝗿𝗲𝗰𝗼𝗿𝗱𝘀 exposure

A 𝗽𝘂𝗯𝗹𝗶𝗰𝗹𝘆 𝗲𝘅𝗽𝗼𝘀𝗲𝗱 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 containing 𝟭𝟴𝟰 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗰𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹 𝗿𝗲𝗰𝗼𝗿𝗱𝘀 has highlighted once again 𝙝𝙤𝙬 𝙛𝙧𝙖𝙜𝙞𝙡𝙚 𝙙𝙖𝙩𝙖 𝙥𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 𝙘𝙖𝙣 𝙗𝙚 𝙬𝙞𝙩𝙝𝙤𝙪𝙩 𝙥𝙧𝙤𝙥𝙚𝙧 𝙨𝙚𝙘𝙪𝙧𝙞𝙩𝙮 𝙘𝙤𝙣𝙩𝙧𝙤𝙡𝙨. From social media and financial services to healthcare and government accounts, the scale of this exposure demonstrates why 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 ..

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@hitechanalytics started using tool DataTables , 1 day, 8 hours ago.

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@laura_garcia shared a post, 2 days, 3 hours ago

Software Developer, RELIANOID

𝗗𝘂𝗯𝗹𝗶𝗻 𝗧𝗲𝗰𝗵 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟲

Excited to announce that 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 will be attending the 𝗗𝘂𝗯𝗹𝗶𝗻 𝗧𝗲𝗰𝗵 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟲 on May 27–28 in Dublin! Celebrating its 10th anniversary, this global tech event brings together innovators, startups, investors, and industry leaders from over 70 countries to 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺. 🚀 From A..

Story

@laura_garcia shared a post, 3 days, 7 hours ago

Software Developer, RELIANOID

New Linux kernel vulnerability disclosed: CVE-2026-46300 “Fragnesia”

🔐 New Linux kernel vulnerability disclosed: CVE-2026-46300 “Fragnesia” A new local privilege escalation flaw affecting Linux XFRM/IPsec components has been identified, related to the same vulnerability class as Dirty Frag and Copy Fail. We’ve published a brief impact assessment and mitigation guidan..

Story

@laura_garcia shared a post, 4 days, 1 hour ago

Software Developer, RELIANOID

𝗔𝗶𝗿𝗽𝗼𝗿𝘁 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀

✈️ 𝗔𝗶𝗿𝗽𝗼𝗿𝘁 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 depend on 𝗵𝗶𝗴𝗵𝗹𝘆 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲, 𝘀𝗲𝗰𝘂𝗿𝗲, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗜𝗧 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀. From AODB platforms and baggage handling to ATC systems and passenger services, every critical airport application requires uninterrupted performance. In our latest article, we explore how 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 helps ensu..

high_availiability_relianoid_solutions_airports

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@varbear shared a link, 4 days, 20 hours ago

FAUN.dev()

Making your own programming language is easier than you think (but also harder)

A game developer explains how he built a low-level modding language, including sandbox constraints, an AArch64 JIT, and a small C++ compiler... read more

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@varbear shared a link, 4 days, 20 hours ago

FAUN.dev()

The Pulse: AI load breaks GitHub – why not other vendors?

GitHub leaders created the reliability problems through weak capacity planning. As AI-agent users drove heavier traffic, GitHub engineers found migration risk and engineering debt that teams had allowed to build up... read more

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@varbear shared a link, 4 days, 20 hours ago

FAUN.dev()

Formatting an entire 25 million line codebase overnight: the rubyfmt story

Stripe's Developer Productivity team rolled out rubyfmt, a Rust-based zero-config Ruby autoformatter, across 25 million lines of Ruby in one Saturday morning in 2024, after the project had been in flight since 2018 as Fable Tales's personal OSS work. The hard parts were Ruby itself (no Ruby parser e.. read more

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@varbear shared a link, 4 days, 20 hours ago

FAUN.dev()

Replacing a 3 GB SQLite database with a 10 MB FST (finite state transducer) binary

Andrew Quinn shipped Taskusanakirja (tsk), a Finnish-English pocket dictionary with search-as-you-type, originally backed by a trie for ~400k base words plus a 3 GB SQLite FTS database to cover the 40-60M inflected forms that Finnish's agglutinative morphology demands. Reaching for BurntSushi'sIndex.. read more

Levelop is an interview preparation platform designed specifically for working software engineers (typically with 2–6 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.