git-sim

16 of march of 2024

Are you afraid to do a git rebase? Or a git reset? Or any other git command? Don't worry, because with git-sim you'll be able to see before you do it what's going to happen so you can make the right decision.

This notebook has been automatically translated to make it accessible to more people, please let me know if you see any typos.

Installation

To install git-sim we first need to install manim, which is a python library for making animations. For this we can install it with pip:

pip install manim

or with conda

conda install -c conda-forge manim

Once manim is installed we can install git-sim with pip:

pip install git-sim

Use

Now that we have it installed we go to a repository and test any git command changing git for git-sim. For example, if in a repository of mine I do a git-sim reset --hard HEAD~1 it will show me an animation of how the rebase would look like before doing it.

As we can see it is showing me that if I do git reset --hard HEAD~1 it would go from commit ae757a8 to commit 3754c64 and that it would also remove the changes in the files indicated in Changes deleted from.

Continue reading

MCP Elicitation: Implementing Elicitation in Servers with FastMCP and Python

Learn how to implement elicitation in MCP (Model Context Protocol) servers with FastMCP. Complete step-by-step tutorial to create an intelligent travel booking agent that requests user information interactively. Includes server and client code, virtual environment setup with uv, and practical elicitation examples for real-time user data collection.

MCP Durability: Server and Client with Persistence for Long-Running Tasks

Learn to build durable MCP server and client for long-running tasks with persistence. Complete Model Context Protocol tutorial featuring SQLite data persistence, background task management, and real-time monitoring. Implement data migration, batch processing, and ML model training that survive server restarts. Python code examples using FastMCP, resources, tools, and durability patterns for enterprise applications.

Resumable MCP: How to Build Servers and Clients with Automatic Checkpoints

Learn to build resumable MCP servers and clients with automatic checkpoint capabilities. Complete tutorial on implementing task interruption handling, state persistence, and recovery for long-running processes in Model Control Protocol. Includes practical code with FastMCP, persistent session management, and real-world examples for processes that can be interrupted and resumed from where they left off.

Last posts -->

Have you seen these projects?

Horeca chatbot

Naviground

Subtify

View all projects -->

Do you want to apply AI in your project? Contact me!

Do you want to watch any talk?

Tomorrow's Agents: Deciphering the Mysteries of Planning, UX and Memory

AI agents, powered by LLMs, promise to transform applications. But are they simple executors today or future intelligent collaborators? To reach their true potential, we must overcome critical barriers. This talk delves into the three puzzles that will define the next generation of agents: 1. Advanced Planning (The Brain): Today's agents often stumble on complex tasks. We'll explore how, beyond basic function calls, cognitive architectures enable robust plans, anticipation of problems, and deep reasoning. How do we make them think several steps ahead? 2. Revolutionary UX (The Soul): Interacting with an agent cannot be a source of frustration. We'll discuss how to transcend traditional chat toward human-on-the-loop interfaces—collaborative, generative, and accessible UX. How to Design Engaging Experiences? 3. Persistent Memory (The Legacy): An agent that forgets what it's learned is doomed to inefficiency. We'll look at techniques for empowering agents with meaningful memory that goes beyond their history, enabling them to learn and making each interaction smarter. With practical examples, we'll not only understand the magnitude of these challenges, but we'll also take away concrete ideas and a clear vision to help build the agents of tomorrow: smarter, more intuitive, and truly capable. Will you join us on the journey to unravel the next chapter of AI agents?

Create your own Apple intelligence

Learn to create an IA system to execute efficiently on a device

Last talks -->

Do you want to improve with these tips?

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

Last tips -->

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.