Claude Code is more than a chat interface.
It's an agentic partner that can search your files and do tasks autonomously.
In this in-depth guide, you'll learn basic setup, workflows, permissions, and how to use Claude Code in real projects.
https://t.co/eQfBmFen7n
⚡ LibrePCB is a free, cross-platform EDA suite for designing printed circuit boards. Its 2.0 release introduced a modern UI built with #Slint.
Over 100 .slint files back the largest open-source Slint C++ codebase we know of.
https://t.co/yRqApYV5ri
#MadeWithSlint#cpp
The bottleneck for most people who want to build a robot isn't motivation
it's not knowing where to start
what parts. what order. what software stack.
Tnkr solves exactly that — open source robot projects with step-by-step assembly, CAD, firmware, everything
https://t.co/Q2fS0D2lyU
Ever wondered how engineers model ride comfort?
This 2‑DOF quarter‑car simulation compares passive vs active suspension under road excitation — a classic problem in vehicle dynamics and control.
From theory → simulation → insight 💡
🔗 https://t.co/RHVwNPRikU
Start learning mobile robotics now! 📚
University of Michigan released a course on autonomous mobile robotics.
It's all for free on YouTube as a series of 29 video lectures covering theory and application of probabilistic and geometric techniques for autonomous mobile robotics.
Topics include Bayesian filtering, stochastic representations of the environment, motion and sensor models for mobile robots, algorithms for mapping and localization, and application to autonomous marine, ground, and aerial vehicles.
Lecture series includes:
→ Bayes Filters and Kalman Filtering
→ Nonlinear Kalman Filtering
→ Particle Filtering
→ Symmetry & Rigid Body Motion
And more covering the fundamentals of mobile robotics perception and navigation.
University courses on mobile robotics typically cost thousands in tuition. UMich-CURLY is releasing the full lecture series for free, democratizing access to robotics knowledge (which I simply LOVE! 🫶🏼)
For anyone wanting to start working in autonomous systems, these fundamentals: Bayesian filtering, localization, mapping, are essential.
Now they're available to anyone with internet access. 🎓
🔗 Start here: https://t.co/v8kgMQSanp
~~
♻️ Join the weekly robotics newsletter, and never miss any news → http://
https://t.co/GoA3ZuwoPB
Robotics with MATLAB
Intro to robotics with a strong focus on learning by doing.
You use simulations and animations to understand how robots work, while the math builds intuition step by step.
The course shows how to write code for robot physics, control systems, and motion using MATLAB.
Includes tutorials, example code, and a YouTube playlist for guided learning.
📍 https://t.co/WsdF34QXiD
——
Weekly robotics and AI insights.
Subscribe free: https://t.co/9Nm01QUcw3
Algorithm Visualizer devrait être dans la boîte à outils de tout·e développeur·se qui apprend ou enseigne des algos — la visualisation en direct à partir du code rend les mécanismes abstraits vraiment lisibles.
https://t.co/LMycabGIbQ
Captada desde la Tierra: la nave Orion de Artemis II sigue siendo visible incluso a una distancia cercana a la de la Luna, y ya hay telescopios que han logrado fotografiarla desde nuestro planeta