Introducing batch mode in the Gemini API🚀 - Submit large jobs - Retrieve your results within 24 hours - 50% discount compared to our synchronous APIs developers.googleblog.com/en/scale-your-…

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🚀 Excited to announce Replit ⠕ strategic partnership with Microsoft to bring Vibe Coding to enterprise! Replit now integrates with Azure services like Container Apps, VMs & Neon Postgres—secure dev + seamless deploy. Big thanks to the stellar Amjad Masad and the Replit ⠕ team!

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Yay! I've just completed Gemini AI Challenge. c-sharpcorner.com/challenge/cert… via C# Corner

5 Best Ways to Build AI Agents in 2025 c-sharpcorner.com/article/5-best… via C# Corner

New Feature on C# Corner!

Built an AI image generator using: C#, Hugging Face MCP, and the new C# MCP SDK Result? A cool ConsoleApp that can generate pixelated squirrel images 🐿️ Blog post & video 👉 elbruno.com/2025/07/21/%f0…

🎙️ Introducing 𝐀𝐈 𝐃𝐞𝐯 𝐓𝐨𝐨𝐥𝐬 𝐓𝐨𝐝𝐚𝐲 – your new go-to series on practical AI toolkits! 📅 Episode 1 drops 𝐉𝐮𝐥𝐲 𝟐𝟒 𝐚𝐭 𝟎𝟑:𝟑𝟎 𝐏𝐌 𝐈𝐒𝐓 💬 Join Stephen SIMON & Mira as they explore Agent Dev Kit + MongoDB Vector Search 🔗Register now:

The first episode of AI Dev Tools Today is now live. In this episode, Mira and Stephen SIMON walk through how to build a task-specific AI agent using the Google Agent Development Kit (ADK) for Python, paired with MongoDB Atlas Vector Search. The agent automates a

Evolution of UI icons in design Bookmark it for later 💜

Gemini CLI Update from the last weeks! We merged 166 PRs from 69 unique contributors. You can now personalize workflows with custom commands and I published a comprehensive Cheatsheet for the Gemini CLI. 🚀 Here are more key improvements: - Added the initial version of custom

What makes an AI application truly production-ready? In the latest episode of AI Dev Tools Today Stephen SIMON discusses with Haimantika Mitra what it takes to go beyond prototypes — and build real, scalable systems. Watch the episode here: youtube.com/watch?v=vGm3WM… #AIEngineering

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In this episode of AI Dev Tools Today, Stephen SIMON hosts Amit Arora on a deep-dive session on Preventing AI Model Drift, featuring insights into why image classification systems experience significant accuracy loss after deployment — and how to fix it. Watch here:

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