Santiago
@svpino
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Computer scientist. I teach hard-core AI/ML Engineering at https://t.co/THCAAZcBMu. YouTube: https://t.co/pROi08OZYJ
🇺🇸 Collaborations →
Joined January 2009
Here is what I like about Google ADK to build code-first agents: 1. Open-source 2. Backed by Google 3. Model-agnostic - It works with Gemini, OpenAI models, Claude, Llama, or whatever other model you want to use. 4. Multi-agent by design - You can start with a simple agent,
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We have 4 new benchmark datasets to evaluate LLMs' structured-output capabilities. (Because existing benchmarks are full or errors) 1. Data Table Analysis - Evaluates how well an LLM extracts key metadata about each table. 2. Insurance Claims Extraction - Evaluates how well an
Which LLM is better for Structured Outputs / Data Extraction: Gemini-3-Pro or GPT-5? We ran popular benchmarks, but found their "ground truth" is full of errors. To enable reliable benchmarking, we've open-sourced 4 new Structured Outputs benchmarks with *verified* ground-truth
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To me, open source has always been about "opening the source code." That's literally been my understanding since forever. Well, it turns out that somebody decided that "open source" doesn't mean that, and instead, they have a purity test to define whether you can call something
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Kiro keeps getting better! For those of you who don't know, Kiro is the AI-powered coding assistant from AWS. They just released "Kiro Powers", and here is how it works: Instead of dumping every MCP tool into context and hoping your agent figures it out, this feature helps
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Here is what I like about Google ADK to build code-first agents: 1. Open-source 2. Backed by Google 3. Model-agnostic - It works with Gemini, OpenAI models, Claude, Llama, or whatever other model you want to use. 4. Multi-agent by design - You can start with a simple agent,
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This is one of the craziest concepts I've seen so far: Second Me is a platform that creates an AI identity based on you: • It takes your photos • It takes your voice • It takes your notes And it creates a second you (a virtual copy). It's an AI-powered identity that sounds
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Imagine getting mad because @37signals opened the source code of their newest product but kept the right to monetize it. I will never understand people like this. If they kept the source code closed (like literally every single saas builder does), nobody would have complained.
Love how calling Fizzy open source is triggering some because our MIT-derived O'Saasy License reserves SaaS monetization rights to us as creators. Same nerds will demoan lack of "sustainable OSS" or argue that handing over all changes under GPL is akshually freedom. Hilarious.
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This is pretty funny (and cool): The team behind AI Santa open-sourced the code, so now we have a Bad Santa. Check out the repository. The original Santa is really good: it reads your facial expressions, responds to your tone of voice, and adapts to different topics.
Last week we launched AI Santa… so I of course immediately forked the repo and built his evil twin: Bad Santa Now we're open sourcing it so you can fork the repo too and CREATE ANY SANTA YOU CAN IMAGINE
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By the way, Cline was recently the fastest-growing AI project on GitHub, and it's fully open source with 50,000+ stars. Here is a link to install Cline on @code: https://t.co/pGy9kY40lC If you want to understand the new "Explain Changes" feature, here is a link to their blog:
marketplace.visualstudio.com
Extension for Visual Studio Code - Autonomous coding agent right in your IDE, capable of creating/editing files, running commands, using the browser, and more with your permission every step of the...
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Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been
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Context engineering is the new prompt engineering. Prompts aren't the bottleneck anymore. Agents fail because their context is noisy, overloaded, or irrelevant. Bigger context windows don't fix bad context. This is one of the reasons everyone who's claimed that RAG is dead was
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This is the last call for my tax planning guide I break down every single tax saving strategy that I wish I knew 3 years ago in a 30,000 word Notion guide Most of these need to be implemented by December 31 to save money RT / comment below and I'll DM you a free copy
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Introducing Anything Max: Vibe Coding that's leaps above Lovable and Bolt We've raised money at a $100M valuation and built what we believe is the future of vibe coding. We asked 100 vibe coders to build their apps side by side on Lovable, Bolt, and Anything Max and they rated
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I used to charge $20,000 per week to come and help your team fix your software architecture and revive your failed projects. A big part of that was finding and fixing bugs. It's mind-blowing to realize you can now do a lot of the same work for $200. Here is a tip: Check out
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This is a huge deal! 50% fewer agent failures — and it works with every model or platform. We keep making steady progress!
We found a way to cut AI agent failures on Tau²-Bench by 50%. Our LLM-trust-scoring + message-revision system helps agents recover from bad LLM outputs (reasoning errors, hallucinations, oversights, wrong tool calls, ...) This system works for any agent/model and domain. [1/2]
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AWS Strands Agents 🤝 AG-UI Protocol @AWS Strands Agents is now AG-UI compatible! 🧬 Easily bring your Strands agents into fullstack applications. AWS Strands Agents handles the agentic backend, AG-UI connects your agents to the frontend. What's included? - Agentic Chat UI:
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MCP now supports authentication using OAuth2. This is huge! I want to share a complete example (code) so you can learn how to use it. Here is the thing: You don't want to build agentic applications that access resources without proper guardrails. With authentication, you
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I saw this coming a mile away...
We were done with AI friends, so we made a social network to bring human connections back. No hashtags. No swiping. No awkward small talks. Meet Second Me, an AI identity based on the real you and does all the social legwork so you can focus on the deep conversations.
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This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder
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