🤖 Why Learn Programming in the AI Era?

Yes, AI can write code as well as humans now. We can simply copy-paste its solutions and problem is done! But is this the way we want to go?

👋 Here's the smarter way:
• Programming itself is a creative journey that trains your brain and brings satisfaction.
• Understanding code lets you collaborate with AI effectively - you can discuss approaches, evaluate solutions, and guide the AI toward better results.

💪 With coding knowledge, you can:
• customize AI-generated solutions,
• spot potential issues,
• break down complex problems,
• make informed architectural decisions.

Think of AI as your smart coding buddy! It can help you level up from a regular developer to a tech architect - it's a unique opportunity that's only possible today. But to seize it, you need to be at your best and keep growing your skills!🚀

We should be the ones who direct AI, not the ones who blindly follow it. What do you think?

#Programming #AI #CodingLife #TechEducation

Microsoft Study Finds Relying on AI Kills Your Critical Thinking Skills

Read Full Article

#AI #CriticalThinking #Technology #MentalSkills #MicrosoftStudy

ROS2 Nodes Factory

I'm excited to share a project I've been working on recently: a ROS2 nodes factory! 🛠

After taking a short break from my regular posts, I've been focused on developing a framework that can automatically generate ROS2 components using AI. The project, called Codestral ROS2 Generator, is now available on my GitHub page.

⚠️ What makes this project special?

The framework follows a "test-driven coding" philosophy - you simply define your ROS2 interfaces and write tests for how your node should behave. Then the generator, powered here by Mistral's Codestral latest model, creates code that satisfies those requirements.

For example, I've included a working implementation of a service that calculates object height (remember my previous experiments with this). The generator was able to create a fully functional ROS2 service node that passes all 14 tests.

🚀 Getting started

📓Project's README and Example instruction explain how to setup and use the generator - you can try it in action.
📔 The documentation explains the system architecture and guides you through creating custom ROS2 nodes for your specific needs.

The project integrates with Mistral AI's powerful Codestral model to understand ROS2 concepts and generate appropriate code. While my previously described method for getting Codestral API keys is not supported yet, you can obtain a free experimental key from the API Keys section of La Plateforme, which works perfectly with this project (also it allows to try any other Mistral models).

🤝 Contributions welcome

I'd love to collaborate with anyone interested in improving this framework. Whether you want to add support for more ROS2 components, improve the code generation, or enhance the examples, contributions are very welcome!

Happy generating! Let me know if you try it out!

#ROS #Codestral #CodeGenerating

Codestral ROS2 Generator tech description.

👋 I've just published a detailed technical overview in Russian of my Codestral ROS2 Generator project - an AI-powered solution that automatically generates ROS2 components (nodes, services, actions) using the Codestral model.

💡The article covers:
- Complete project architecture.
- Key classes and their interactions.
- The generation workflow from prompt to tested code.
- Performance metrics and evaluation.

Check out the full technical breakdown on my blog: Let's Go Design

#CodeGenerating #ROS #Codestral

We'll see...

Forecasts are getting more and more optimistic 🤔

Is Humanity Getting Dumber? @Science Says Yes

A recent study confirms a concerning trend: global intelligence levels have been declining since 2010. Researchers have found that many people struggle to focus on a single task, lose logical thinking skills, and spend excessive time on their smartphones.

Here are some key findings:

🔢 25% of adults in developed countries cannot solve basic math problems, with this figure rising to 35% in the U.S.
🧑‍🎓 Since 2015, there has been a sharp increase in 18-year-olds struggling to concentrate on a single topic.
📖 In 2022, half of those surveyed read no more than one book, while 45% of teenagers did not read at all.

The culprit? The way we consume information has changed. Social media, with its endless feeds and algorithm-driven content, overloads the brain, making it harder to seek out and process valuable information. Instead, people get stuck in an endless loop of low-value content consumption.

💡 The good news?
The brain remains highly adaptable—with effort, it’s possible to regain focus and sharpen critical thinking skills.

Time to take control of our attention!

I've been disappointed numerous times with highly-ranked models like Qwen that excel in benchmarks but underperform on real tasks. These benchmarks have started to feel like marketing tools—ways to generate hype with impressive tables and graphs rather than demonstrate genuine capability.What matters is genuine expertise. Human experts have credentials—education, years of field experience, common sense—and accountability for their decisions. But what about AI models? Sure, they can assist, but can we really trust them with complex real-world problems without human oversight? Will we ever truly believe in their "expertise"?My experience so far suggests caution—don't rely too heavily on AI advice. I'm curious to see how this evolves over time. 🤔

🌐 Codestral ROS2 Gen: Network Scanner Extension Now Available!

⚡️Here it is - the second release of Codestral ROS2 Gen with a powerful new feature: the NetworkScanner!

🔍 What's New in This Release
The NetworkScanner module with efficient network discovery capabilities:
• Fast ICMP-based scanning for host discovery
• Asynchronous packet handling for optimized performance
• Configurable scan parameters (timeout, interval, etc.)
• Seamless integration with the existing ROS2 generation pipeline

🛠 How It Works
The NetworkScanner uses optimized ICMP echo requests (pings) to detect active hosts on a network. It employs an innovative approach with:
• Synchronous packet sending for precise timing control
• Asynchronous response collection for efficient handling
• Smart timeout management for reliable results
• Clean ROS2 message publishing for network status information

🧪 Key Components
• network_scanner.py: Core scanning orchestration
• network_host.py: Host state management
• scan_operation.py: Context-managed scanning operations
• network_parser.py: Network targets parsing

Full codebase documentation is available on projects's GitHub pages 📙

🚀 Try It Yourself
The detailed example documentation shows how to generate your own network scanner nodes. You can even use the standalone nscan command-line tool for quick testing!

This extension builds upon core generation system, demonstrating how the Codestral generator can create complex, functional ROS2 components with system-level interactions. 🤖

#ROS2 #AI #NetworkScanning #Robotics #CodeGenerating #Codestral

🤩 Just tested Qwen 2.5-Omni and wow - it's impressive!

This free model accepts audio and video alongside text and images, plus it responds with both text and voice. We're just one step away from truly real-time AI conversation now - only need to cut down that input/response delay. Worth checking out here.

#QwenAI #MultimodalAI