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@sanjayjoshi shared a post, 5 days, 13 hours ago

8+ Best Shadcn Collapsible Component Examples for React & Next.js

Shadcn Collapsible components offer a flexible, non-interruptive way to manage secondary content in React and Next.js projects. Unlike accordions or dialogs, they keep users in context while reducing UI clutter. Key variations include sidebar menus, API key managers, and file trees, all of which benefit from Tailwind CSS styling and full ARIA accessibility.

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@alihenryofficial started using tool SAP Commerce Cloud , 5 days, 13 hours ago.
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@alihenryofficial started using tool Google Publisher Tag , 5 days, 13 hours ago.
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@laura_garcia shared a post, 5 days, 14 hours ago
Software Developer, RELIANOID

𝗲𝗻𝗮𝗯𝗹𝗲 𝗦𝗲𝗰𝘂𝗿𝗲 𝗕𝗼𝗼𝘁 𝗶𝗻 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻

𝗦𝗲𝗰𝘂𝗿𝗲 𝗕𝗼𝗼𝘁 + 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 = 𝘴𝘵𝘳𝘰𝘯𝘨𝘦𝘳 𝘵𝘳𝘶𝘴𝘵 from the very first instruction executed. Here's a practical guide on 𝗵𝗼𝘄 𝘁𝗼 𝗲𝗻𝗮𝗯𝗹𝗲 𝗦𝗲𝗰𝘂𝗿𝗲 𝗕𝗼𝗼𝘁 𝗶𝗻 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 using the standard shim + MOK approach. 🔐 What’s inside: - Why Secure Boot can’t be enabled on first install - Step-by-step MOK enr..

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@sanjayjoshi gave 🐾 to How To Make a Fast Dynamic Language Interpreter , 5 days, 16 hours ago.
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@laura_garcia shared a post, 6 days, 13 hours ago
Software Developer, RELIANOID

𝗛𝗮𝗰𝗸 𝗦𝗽𝗮𝗰𝗲 𝗖𝗼𝗻 𝟮𝟬𝟮𝟲

🚀 𝗛𝗮𝗰𝗸 𝗦𝗽𝗮𝗰𝗲 𝗖𝗼𝗻 𝟮𝟬𝟮𝟲 📍 Kennedy Space Center 📅 May 6–9, 2026 𝙒𝙝𝙚𝙧𝙚 𝙘𝙮𝙗𝙚𝙧𝙨𝙚𝙘𝙪𝙧𝙞𝙩𝙮 𝙢𝙚𝙚𝙩𝙨 𝙨𝙥𝙖𝙘𝙚 𝙞𝙣𝙣𝙤𝙫𝙖𝙩𝙞𝙤𝙣. Hack Space Con is not your typical event — it’s where cybersecurity, aerospace, and advanced technologies converge to shape the future of security beyond Earth. 🔍 𝗪𝗵𝗮𝘁 𝘁𝗼 𝗲𝘅𝗽𝗲𝗰𝘁: - Hands-on techn..

HACKSPACECON2026_florida_RELIANOID
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@varbear shared a link, 6 days, 13 hours ago
FAUN.dev()

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  

A Couple Million Lines of Haskell: Production Engineering at Mercury
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@varbear shared a link, 6 days, 13 hours ago
FAUN.dev()

How To Make a Fast Dynamic Language Interpreter

Zef's AST-walking interpreter posts a 16.6× 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  

GPT-5.3-Codex is OpenAI’s advanced agentic coding model, designed to go beyond writing code and operate as a general-purpose collaborator on a computer. It builds on GPT-5.2-Codex by combining stronger coding performance with improved reasoning and professional knowledge, while running about 25% faster. The model is optimized for long-running tasks that involve research, tool use, and complex execution, and it performs at the top of industry benchmarks such as SWE-Bench Pro and Terminal-Bench.

Unlike earlier Codex models that focused primarily on code generation and review, GPT-5.3-Codex can reason, plan, and act across the full software lifecycle. It supports activities such as debugging, deploying, monitoring, writing product requirement documents, creating tests, and analyzing metrics. It can also autonomously build and iterate on complex applications and better interpret underspecified prompts, producing more complete and production-ready results by default.

A defining feature of GPT-5.3-Codex is its interactive, agentic workflow. Users can steer the model while it is working, receive progress updates, and adjust direction without losing context, making it feel more like a teammate than a batch automation tool. The model was even used internally to help debug its own training and deployment processes. GPT-5.3-Codex is available through paid ChatGPT plans in the Codex app, CLI, IDE extension, and web, with API access planned for the future.