Assuming a solution similar to Claude Code or Gemini CLI but designed for Grok
SOFTWARE
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Infrastructure teams need weekend rest from deployments
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Pls take it easy so our infra and SRE teams can have a weekend to relax
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AI Revolution: Modern Databases for Next-Gen Engineer
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“We're at the dawn of the AI software revolution, and every engineer is becoming an AI engineer.”
— Databricks (@databricks) 27 juin 2025
Modern AI apps demand more than legacy databases can offer. At #DataAISummit, @neondatabase CEO and co-founder @nikitabase shared how Databricks and Neon are reshaping database… pic.twitter.com/wyZqHEtazA“We're at the dawn of the AI software revolution, and every engineer is becoming an AI engineer.” Modern AI apps demand more than legacy databases can offer. At #DataAISummit, @neondatabase CEO and co-founder @nikitabase shared how Databricks and Neon are reshaping database
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New Hands-On AI for IoT Second Edition Release
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New #AIoT release from @PacktDataML >> Hands-On #AI for #IoT : Expert #MachineLearning and #DeepLearning techniques for developing smarter IoT systems [2nd Edition] See it at http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Leverage the power of Python libraries such as -

FastHTML: The Web Development Super-Power Framework
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FastHTML is a super-power. If you're not using it, you are seriously missing out. Thank you @adityakabra for sharing your story! 😀 https://
himalayanhacker.substack.com/p/from-giving-
up-on-coding-to-shipping
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Free API Key Launch: Speed Up Your Development Today
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Do you feel the need for speed? Get your free API key and start flying!
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xAI Develops Enhanced Code Editor for Grok
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xAI is working on an enhanced code editor inside the Grok web. This also aligns with an earlier mention of "Needs one more big run for a specialised coding model" from Elon Musk. Vibe Grokking
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The Race for LLM Cognitive Core: Always-On Personal Computing Kernel
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The race for LLM "cognitive core" – a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing.
Its features are slowly crystalizing: – Natively multimodal -
Cerebras Achieves Order of Magnitude Token Output Improvements
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"Before Cerebras, everything sits sub 200 tokens per second output. And after us, on every model, you have vast improvements, order of magnitude improvements. And what this allows you to do is deliver something special and different to your customers —faster responses, richer… pic.twitter.com/Geo41OaASV
— Cerebras (@cerebras) 27 juin 2025"Before Cerebras, everything sits sub 200 tokens per second output. And after us, on every model, you have vast improvements, order of magnitude improvements. And what this allows you to do is deliver something special and different to your customers —faster responses, richer
