Tips

Best practices building agents with Claude Code

Technical talk: skills, subagents, slash commands and MCPs in Claude Code

o1 prompt engineering

Create better prompts for o1 following an example

Memory profiler

See the memory usage of a script

DataLoader with pin_memory and num_workers

Increase DataLoader performance with pin_memory and num_workers

py-smi

Python library to get GPU data like `nvidia-smi`

Memory Calculator

Space to calculate the memory needed to run a model

Code formatter Black

Your colleague Patric is writing code that is hard to read? Share with him this code formatter that I show you in this post! Come in and learn how to format cod...

Declarar redes neuronales de forma clara

Declare neural networks clearly in Pytorch

Obtener datos de diccionarios

Obtener datos de diccionarios en Python de forma segura

Single-element tuples in Python

Tip to create single-element tuples in Python

Sort lists in Python without modifying the original

Tip to sort lists in Python without modifying the original

First letter of each word in uppercase in Python

Tip to print strings with the first letter of each word in uppercase in Python

Enteros largos con guión bajo en Python

Tip to write long integers with underscore in Python

Continue reading

The harness is the product: why AI agents fail

I explain nyk's «The Harness Is The Product»: why the harness around the model decides whether an AI agent works in production, and its four pillars.

Qwen Image 2.1 on two RTX 3090s: from a private Studio to ZeroGPU

How I tested Qwen Image 2.1 on two RTX 3090s, built a private Gradio Studio behind Tailscale and ported it to Hugging Fa...

How to run tools in parallel in an agent

Learn to decide which tools can run together, limit active operations and match each result to its request, with example...

Last posts -->

Have you seen these projects?

Gymnasia

LangGraph Deep Researcher

Tau

View all projects -->

>_ Available for projects

Do you have an AI project?

Let's talk.

maximofn@gmail.com

Machine Learning and AI specialist. I develop solutions with generative AI, intelligent agents and custom models.

Write me LinkedIn

Do you want to watch any talk?

The rice journey: building an agent in a gym and nutrition app

Interactive 3D talk (in Spanish) on the Gymnasia agent: where data lives, from plate to data, tools, duplicates, health limits and how to test it all.

Best practices building agents with Claude Code

Technical talk: skills, subagents, slash commands and MCPs in Claude Code

Last talks -->

Use this locally

Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.