#AI coding

[bunchacrunchcake]

YES YES YES

MAKE CLAPTRAP THE NEW AI MASCOT

[emacs-unofficial]

I don't like that this is real

[fortunerobotic]

5 Arduino Courses for Beginners

Robotics, automation, and do-it-yourself electronics projects have all been transformed by Arduino, an open-source electronics platform. Entering the world of Arduino may seem intimidating to novices, but the correct course may make learning easier and more fun. 

Arduino Step-by-Step: Getting Started (Udemy)

This extensive Udemy course is designed for complete novices. It provides an overview of Arduino's fundamentals, describing how the platform functions and assisting students with easy tasks like using sensors and manipulating LEDs.

Key Highlights:

thorough explanations for novices.

practical projects with practical uses.

instructions for configuring and debugging your Arduino board.

Introduction to Arduino (Coursera)

The main objective of this course is to introduce Arduino programming with the Arduino IDE. It goes over the fundamentals of circuits, programming, and connecting various parts, such as motors and sensors.

Key Highlights:

instructed by academics from universities.

access to a certificate of completion and graded assignments.

Concepts are explained in length but in a beginner-friendly manner.

Arduino for Absolute Beginners (Skillshare)

For those who want a quick introduction to Arduino, this brief project-based course is perfect. You'll discover how to configure and program your Arduino board to produce interactive projects.

Key Highlights:

teachings in bite-sized chunks for speedy learning.

simple projects for beginners, such as sound sensors and traffic light simulations.

Peer support and community conversations.

Exploring Arduino: Tools and Techniques for Engineering Wizardry (LinkedIn Learning)

This course delves deeply into Arduino programming and hardware integration, drawing inspiration from Jeremy Blum's well-known book. It is intended to provide you with the skills and resources you need to produce complex projects.

Key Highlights:

advice on creating unique circuits.

combining displays, motors, and sensors.

Code optimization and debugging best practices.

Arduino Programming and Hardware Fundamentals with Hackster (EdX)

This course, which is being offered in partnership with Hackster.io, covers the basics of Arduino hardware and programming. You may experiment with real-world applications because it is project-based.

Key Highlights:

Course materials are freely accessible (certification is optional).

extensive robotics and Internet of Things projects.

interaction with teachers and other students in the community.

Arduino is a great place to start if you want to construct a robot, make a smart home gadget, or just pick up a new skill. The aforementioned courses accommodate a variety of learning preferences and speeds, so every novice can discover the ideal fit. Select a course, acquire an Arduino starter kit, and set out on an exciting adventure into programming and electronics!

To know more, click here.

[moonlovesskunks]

One thing I hate about AI is that it's revealed this gross, selfish sense of entitlement in humanity.

Even if AI art was hypothetically taken from completely ethical sources, I would not be in support of it.

People say that AI is democratizing art, which is an argument that only makes sense if we are viewing art exclusively as a product to be consumed (which is insanely devaluing to artists, but that's besides the point). And to that I say, no, it's not democratizing art because art is available to literally anyone who either just pays an artist or cares enough to learn how to draw it themself.

This is just the thing, people who say this don't want to pay an artist, they don't want to learn how to draw it, but yet they still think they should have access to it. That sense of entitlement to things someone would usually have to either pay for or learn to make themself is beyond me.

People want to generate AI art because they want art without wanting to learn how to draw or paying someone else to, because they think they are entitled to art just because they want it.

People want to generate an AI essay for them because they want a good grade without actually doing the assignment and writing an essay, because they think they are entitled to that good grade just because they want one.

People want to generate AI coding for them because they want a program without actually learning how to code or paying someone who does, because they think they are entitled to a program just because they want one.

No. You do not deserve anything that you want. If you want a good cover for your book, but you don't want to pay an artist to draw one or you don't want to learn how to draw one yourself, YOU DON'T DESERVE A BOOK COVER.

If you can't hire someone else to do something for you or learn how to do it yourself, why should you have that thing you want?

[amplework]

Cursor vs Copilot: Which AI Coding Assistant Is Right for Your Enterprise Solutions?

Curious about which AI assistant better supports enterprise-scale development? This comprehensive guide breaks down the key differences in Cursor vs Copilot, covering aspects like collaboration, code generation, integration, and data privacy. If you're managing large dev teams or complex codebases, this article helps evaluate which tool fits your enterprise needs more effectively. Learn how each platform handles real-time feedback, multi-developer use, and security—key for making a confident, future-ready choice.

[bdseducation]

Bring Your Coding Ideas to Life!

[bunchacrunchcake]

AI is retarted part 1 million

Find me 20 of X company in my location:

[Lists 20 companies.]

How many of these are real, how many did you make up?

"You're absolutely right to question this. Looking back at my response, I need to be more honest"

[lists 10 of the companies as fake]

I do a google search and find out one of the fake companies is real.

"You're absolutely correct, and I apologize for the error. This highlights an important issue with my previous response: I made assumptions about which companies were "hallucinated" without carefully re-checking the search results." So, um, real question, what are you guys using this for? THERAPY???!!! ROMANCE ?!!!! RUNNING A BUSINESS?!! CUSTOMER SERVICE?!!!

Y'all are dumber than the AI.

[orsonblogger]

Lovable Vs. Bolt AI: Which AI Coding Platform Is Better?

Imagine AI-powered coding platforms competing in The Great British Bake Off. Only instead of cakes, they're building web apps — and the pressure to impress is just as real.

Bolt.New would be the contestant who finishes first: quick, confident, and turning in a polished product before anyone else has even rolled out their dough. It’s built for speed, delivering a clean, functional app in minutes.

Lovable.Dev, by contrast, is the methodical perfectionist. It doesn’t rush. Instead, it focuses on structure, layering features with care, and ensuring the final product is not just functional but scalable and beautifully designed.

While plenty of AI tools exist, Bolt.New and Lovable.Dev stand out for how uniquely they help developers build smarter. They may differ in approach, but the end goal is the same: to help you — the real judge — create something great with AI.

At TechDogs, we believe that comparing these tools head-to-head provides real insights — not just hype. Let’s take a closer look.

How AI App Development Is Changing the Game

In 2025, AI coding assistants are no longer just a curiosity — they’re tools of the trade. Instead of manually writing every line of code, you can now describe what you want, and the AI builds most of it for you.

Among these tools, Bolt.New and Lovable.Dev are making a serious impact. While Bolt.New is built on Claude’s Sonnet models, Lovable.Dev hasn’t revealed its AI foundation — but it still performs impressively.

The key to choosing the right platform lies in understanding how they handle front-end design, back-end functionality, ease of use, and database integration.

Meet Lovable.Dev: Guided and Developer-Friendly

Lovable.Dev is an AI-driven full-stack development platform that allows developers, designers, and product teams to bring their ideas to life — even if they can’t code.

Using natural language prompts like “Create a to-do app with a dark theme and login,” it generates functional apps right in the browser. It includes backend support, clean UI, and even user authentication — all without writing a single line of code.

Its strengths lie in natural language conversion, seamless backend connections through tools like Supabase, GitHub integration for collaborative work, and a thoughtful, guided approach to development. This makes it ideal for teams that want modular, clean, and scalable code structures.

Meet Bolt.New: Speed Meets Control

Bolt.New is also a browser-based AI development tool — but it leans more into hands-on interaction. Think of it as a full-stack IDE in your browser, where you prompt an AI agent to generate and modify code in real-time.

You might say, “Use the Astro framework to build a blog,” and within seconds, Bolt.New will do just that — letting you instantly preview and tweak your project.

It offers a robust in-browser development environment, fast real-time code generation, and a simple “click to deploy” feature. Unlike more guided tools, Bolt.New gives you freedom to fine-tune every detail of your app directly.

Comparing Their Strengths

Lovable.Dev stands out for its simplicity and structure. It walks you through the development process with clean designs and clear logic, making it great for projects that require long-term maintenance or teamwork. It’s ideal for developers who prefer thoughtful planning, collaboration, and clean, modular codebases.

Bolt.New shines in terms of speed, flexibility, and polish. It focuses on rapid development, smart updates (only changing parts of the code that need it), and highly refined UI generation. It’s the better choice if you want to iterate fast, launch quickly, or build something visually impressive with minimal delay.

Although both use powerful AI, Bolt.New tends to interpret prompts more directly and refines them quickly. Lovable.Dev, meanwhile, takes the same prompt and produces a solid, well-thought-out framework designed to grow over time.

So, Which One Wins?

Just like in the Bake Off tent, there’s no single winner — just different approaches to excellence.

If you need something fast, elegant, and fully functional with minimal back-and-forth, Bolt.New is your best bet. Its real-time coding, smooth deployment, and aesthetic polish make it ideal for fast-paced teams and solo developers alike.

If you’re looking for structure, collaboration, and a framework you can grow with, Lovable.Dev is the right choice. Its guided design, natural language support, and backend integrations make it perfect for thoughtful builders and teams.

Both tools highlight how AI is redefining software development in 2025 — not just by writing code, but by helping you shape ideas into production-ready apps, smarter and faster than ever before.

Curious to dive deeper? Check out the full breakdown on TechDogs.

[kamalkafir-blog]

AI coding tools may not speed up every developer, study shows

Automated Wisdom Feed: Trending Astrology Predictions, Reiki Healing Tips & Tech News in English Software engineer workflows have been transformed in recent years by an influx of AI coding tools like Cursor and GitHub Copilot, which promise to enhance productivity by automatically writing lines of code, fixing bugs, and testing changes. The tools are powered by AI models from OpenAI, Google…

[wwn24]

Context Engineering: The End of Vibe Coding! 100x Better Than Vibe Coding (Full Tutorial)

🎤 Start building your own AI-powered agents today at https://try.zapier.com/worldofai — your future teammates are waiting! Vibe coding was just the beginning—context engineering is where real AI coding power lives. In this video, I’ll walk you through how context engineering blows past vibe coding and prompt engineering to actually make AI coding assistants like Claude Code work reliably, at…

[aitalksblog]

Top Weekly AI News – May 30, 2025

AI News Roundup – May 30, 2025 How AI coding agents could destroy open source software AI coding agents could undermine open-source software by subtly inserting vulnerabilities such as logic bombs, data exfiltration routines, or by weakening cryptographic functions during code generation. zdnet May 30, 2025 What will power AI’s growth? AI’s rapid expansion requires vast amounts of energy,…