30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and
SOFTWARE
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30 Agents Every AI Engineer Must Build – production-ready agents
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New release: Everyone Is a Programmer – guide to building apps with AI coding
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New release! Everyone Is a Programmer — A battle-tested guide to building real apps with AI coding: https://
amzn.to/4cOEPNa via @PacktPublishing -
Gemini Omni vs Seedance 2.0: Different Models
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Creo que muchos están enfocando mal el modelo de Gemini Omni al compararlo con Seedance 2.0 cuando conceptualmente son cosas distintas.
— Carlos Santana (@DotCSV) 19 mai 2026
Este es un modelo para editar vídeos (a la Nano Banana) como nunca antes habíamos tenido! pic.twitter.com/eaqngSnbCDI think many are focusing on the wrong aspect when comparing the Gemini Omni model to Seedance 2.0, as they are conceptually entirely different things. This is a video editing model (like Nano Banana) unlike anything we've seen before!
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Google AI Studio and Gemini API Receive Major Updates
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Massive updates to @GoogleAIStudio and the Gemini API – Gemini 3.5 Flash!
– managed agents so you can easily build agentic products with the antigravity harness
– native Android app creation right in AI Studio
– native workspace integrations – 1 click export to antigravity -
Video input for AI generation transforms content production speed
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This is a massive leap in creative accessibility. The ability to use video as a direct input for generation and then iterate through conversation is going to change the speed of content production. @Google @GeminiApp #GoogleIO #GenerativeAI #VideoProduction
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Android Halo: A New Space for Agents on Android Devices
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Gemini Halo > Android Halo is a new space for your agents on Android devices.
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Claude Code Training 13 Hours: Long-term Memory and React FastAPI App
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Formation complète Claude Code : 13 HEURES.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 19 mai 2026
J'ai cherché partout. Rien de comparable n'existe.
Gardez-la précieusement en signet 🔖
De A à Z :
– CLAUDE.md : comment donner une mémoire long terme à Claude sur ton projet
– App complète : React frontend + Python FastAPI… pic.twitter.com/owmHgMjVLmComplete Claude Code Training: 13 HOURS. I searched everywhere. Nothing comparable exists. Bookmark it preciously. From A to Z: – CLAUDE.md: how to give Claude long-term memory on your project – Complete App: React frontend + Python FastAPI
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Generation speed stable in Pi without super large context
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So far my generation speed is mostly stable in Pi (I haven’t tried super large context yet)
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Llama.cpp MTP: 2x generation speed with multi-token prediction
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I've seen some confusion online on how to run llama.cpp with MTP (Multi-token prediction) in the simplest way possible. ICYMI, MTP is a new flavor of speculative decoding built-in to the model itself, that ~2x your tokens per sec for most use cases. 2x generation speed = Truly
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Composer 2.5: Efficiency and AI Capability
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Intelligence too cheap to meter. This is the real deal. Composer 2.5 is an efficiency-beast