Jorge Davison @jdavisonc
Problem solver by nature, Cutting-Edge Technology Lover. All opinions are my own. Montevideo, UY Joined April 2010-
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Si usan claude code o cursor para codear, agréguenle el mcp de @Context7AI. Busca la documentación del repo que necesite usando rag y se lo devuelve al llm en markdown, mucho mejor que pedirle al modelo que haga web search. Desde que lo uso dejo de alucinar, usar métodos que…
Embrace being a crud monkey
Embrace being a crud monkey https://t.co/YjMfjONuAE
BREAKING: AWS just solved the biggest AI agent bottleneck. No more custom glue code. No more M×N tool chaos. No more protocol headaches. Introducing: Amazon Bedrock AgentCore Gateway Here's how it works:
“A fresh college grad on top of AI can outperform a full-stack engineer with 10 yrs of experience that is still doing things as they were back in 2022.” @AndrewYNg explains perfectly why we need more programmers, not less.
You have all the time you need, you're just spending it poorly. Don't tell me you don't have time for Linux or kids OR BOTH. You have time for all of it once you stop filling your day with junk activities.
Six Principles for Production AI Agents app.build/blog/six-princ…
Finally! A Text-to-SQL tool that actually works! Vanna is an open-source RAG framework for complex Text-to-SQL generation. It manages dynamic data and allows custom RAG model training for greater accuracy. 100% open-source.
Sobre el reciente research de METR sobre productividad de devs con herramientas de IA/LLMs/Dev Agents. El estudio analiza el impacto en la productividad de devs experimentados en proyectos OSS, y generó múltiples reacciones, reflexiones y cuestionamientos👇
OpenAI, Google y Anthropic acaban de publicar las guías sobre: - Ingeniería de prompts - Creación de agentes efectivos - IA en los negocios - 601 casos de uso de IA y mucho más... Las 9 mejores guías que no te puedes perder:
jumpingONmemeTrend redd.it/1kvzs4o
🤗 Mellum is now open source on @huggingface! It’s a focal model that is small, efficient, and made for one thing: code completion. ⚙️ Trained from scratch by JetBrains. 🌱 First in a growing family of dev-focused LLMs. 🔗 jb.gg/Mellum_XOS
LMAO 😂 Vibe-coding is fun until you have to debug it without a clue.
Must watch. Anthropic's released an hour long deep dive on prompt engineering. Covers: ▸ What makes a good prompt ▸ Handling ambiguity, reasoning paths, and edge cases ▸ Enterprise vs research prompting strategies ▸ Using personas, metaphors, and structured logic ▸…
MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it…
INCREDIBLE!!! Gemini did 6 hours of manual data analysis work in just 2 mins. Gemini in a Colab notebook now lets you plan, analyze, and visualize your data. I used a dataset of 100k rows and didn't write or execute a single line of code. Completely hands-off!
Just announced new versions of Gemma 3 – the most capable model to run just one H100 GPU – can now run on just one *desktop* GPU! Our Quantization-Aware Training (QAT) method drastically brings down memory use while maintaining high quality. Excited to make Gemma 3 even more…
MCP vs function calling visually explained:
Billions worth of system prompts are exposed in a single repo. The scale of IP leaks is remarkable in the LLM era.
For the very first time OpenAI released a model right after Google and they are way behind No one needs a not-so-smart model (GPT-4.1 mini), nor an overpriced dumb one (GPT-4.1) You either want a super smart model, or the best cheap model. Gemini 2.5 Pro or Gemini 2.0 Flash
New model in our API — GPT-4.1. It's great at coding, long context (1 million tokens), and instruction following.
New model in our API — GPT-4.1. It's great at coding, long context (1 million tokens), and instruction following.
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