teleren/devto huggingface dataset:
Improving coding skills with games! 🎮
Tags: css, tailwindcss, frontend, gamedev
Published: 2024-06-14 22:24:54

**Coding** is a lot of fun, but imagine having even more fun by coding and **playing** at the same time! 🎮✨ In this article, I'm going to share tips on how you can level up your **programming** skills and have a blast while doing it. 🚀🧩

## Css2Wind 🌬️
In this game, you get to translate native **CSS** to **Tailwind CSS**! 🕹️✨ It’s an incredibly helpful tool for frontend developers looking to master **Tailwind CSS**. You can also share your **successes** and **mistakes** on Twitter to showcase your learning journey.
[css2wind](https://www.css2wind.com/
)
![css2wind](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/t29qfor1qnxf64s8v0s3.png)

## Blockly Games 🧩
Imagine solving **puzzles**, navigating mazes, and even making animations—all by snapping together **colorful** code blocks! It's like building with Lego, but for code. **Just drag and drop**, and watch your creations come to life. 🧩🚀(Recommended for kids)
![blocky](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vkb4jrcrhtcblpq98dh5.png)

## Flexbox Froggy 🐸
Is an interactive game that teaches you the basics of **CSS Flexbox** 🎨, a powerful layout tool in web development. The game guides you through various levels where you help **Froggy** and friends by writing **CSS code** to arrange **lily pads** 🪷 and **frogs** in different layouts.

![Froggy](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vwum3laluc78oyjbxims.png)
Computer Science Challenge: Algorithm
Tags: devchallenge, cschallenge, computerscience, beginners
Published: 2024-06-14 22:17:06

*This is a submission for [DEV Computer Science Challenge v24.06.12: One Byte Explainer](https://dev.to/challenges/cs).*

## Explainer

An algorithm is a recipe for computers – it tells them how to solve problems step by step. It's crucial in CS for designing efficient solutions, ensuring accuracy in tasks like sorting data, searching info, and optimizing software and hardware.

## Additional Context

The cover image for this post is generated by Gemini – an AI assistant app developed by Google.

Algorithms play a fundamental role in the development, functioning, and performance of AI systems like Gemini.

Algorithms underpin every aspect of AI development, from data processing and model training to real-time decision-making and continuous improvement. The effectiveness and sophistication of AI apps like the Gemini AI assistant are directly linked to the quality and innovation of the algorithms it employs.
Why GitLab Runners Are So Slow?
Tags: devops, gitlab, cicd
Published: 2024-06-14 22:01:53

So there I was, Monday morning, coffee in hand, ready to tackle the day. I had a bunch of CI/CD pipelines to run and a to-do list longer than a CVS receipt. Feeling optimistic, I hit "run" on my pipelines and leaned back, expecting them to zoom through like a Ferrari on an open road. Instead, it felt like I had strapped a rocket to a tortoise. My pipelines were crawling slower than my grandma on her morning walk.

I sighed, took another sip of my now lukewarm coffee, and wondered what was going on.

This couldn't just be a one-time thing, right? As I stared at the progress bar moving at a glacial pace, I decided to get to the bottom of this mystery. And let me tell you, what I found was quite the rabbit hole.

**1. GitLab's pricing strategy**
First off, I discovered that GitLab's pricing strategy isn't exactly in our favor.

You see, GitLab charges for runner usage by the minute. The longer your pipelines take, the more you pay.

It was like finding out that the pizza place around the corner purposely slows down their oven to make you buy more drinks while you wait. With this kind of setup, GitLab doesn't really have a reason to speed things up. More time means more money for them. Clever, but not great for my productivity.

**2. Shared runners and high demand**
Next, I learned that GitLab runners are shared among all users. Imagine you're at an all-you-can-eat buffet, but every time you reach for the food, a hundred other hands are grabbing at it too.

During peak times, the demand for these runners spikes, causing a traffic jam that makes rush hour look like a breeze. My jobs were stuck in a queue, waiting for their turn like kids at a popular amusement park ride. No wonder everything was so slow!

**3. Limited resources of GitLab runners**
To add insult to injury, these GitLab runners are hosted on Google Cloud Platform (GCP) with limited resources.

We're talking **2vCPUs** and a few gigabytes of RAM. It's like trying to win a race with a tricycle while everyone else is on motorcycles. These limited resources just can't handle the intensive workloads that CI/CD pipelines often require, causing even more delays.



After my deep dive into the world of GitLab runners, I realized that the slow performance wasn't just a minor inconvenience; it was a systemic issue. GitLab's pricing strategy, shared runner congestion, and limited resources were all conspiring against my productivity. But hey, every problem has a solution, right?


That's where [Cloud-Runner](https://cloud-runner.com) comes in. I stumbled upon this gem while searching for alternatives and decided to give it a try. And let me tell you, it was like swapping a bicycle for a jet engine.

My pipelines started zipping through tasks faster than my morning espresso can cool down. No more waiting in line, no more watching progress bars creep along – just pure, unadulterated speed.
Day 971 : The Upgrade
Tags: hiphop, code, coding, lifelongdev
Published: 2024-06-14 21:54:39

_liner notes_:
- Professional : Still working on trying to get this visa. The organizer is saying that the document that the visa application site is saying is required is not required. haha. We'll try again on Monday. I responded to some community questions. Set up tasks for the next sprint. Refactored a feature in an application to use a new Client SDK. Not a bad day.

- Personal : Picked up some tracks on Bandcamp and got my social media posts ready. Went through more tracks for the radio show. Did some more refactoring on the highlight clip creator. I can now have two lines on the title slides. Ended the night watching an episode of "The Boys". I forgot how wild that show is. Oh, I forgot, I bought a new camera for when I travel. It's an upgrade to a camera that I use a lot. There's also a new device that will help transfer files off of the camera. That's one of my pain points with the camera, so I think this will help.

![A dark blue, black and purple background with a starry night sky](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/gbsishjglx2ejc9p80cw.jpg)

Going to finish putting together the tracks for the radio show. I want to put together some packages so I can post them on my way to the station tomorrow. There's also an online order I need to place as well. After all that, I want to work on upgrading a previous side project to a new version of the framework I used. Hopefully that goes smoothly. Looking to end the night watching an episode of "The Boys".

Have a great night and weekend!

peace piece
Dwane / conshus
https://dwane.io / https://HIPHOPandCODE.com
{% youtube DqROS_ub6Q4 %}
Unique combinations of a string
Tags: programming, go, interview, interviewquestions
Published: 2024-06-14 21:50:00

This one is a little tricky and certainly depends on how one interprets the question. 

Write a golang function to find the unique combinations of a string.

I am taking the problem in a simple form. I will produce the combinations one would get assuming the string is left in order; that is to say that I am not considering combinations that would occur from any reordering of the characters from the original string.

```
func FindUniqueCombinations(str string) []string {
	// Convert string to slice of runes
	runes := []rune(str)

	// Store unique combos
	var combos = []string{}

	// Generate combos recursively
	var searchForCombos func(start int, currentCombo[]rune)
	searchForCombos = func(start int, currentCombo []rune) {
		comboAsStr := string(currentCombo)
		// Skip duplicates and empty string
		if !slices.Contains(combos, comboAsStr) && len(comboAsStr) > 0 {
			// Add current currentCombo to the result
			combos = append(combos, string(currentCombo))
		}

		// Generate combos for remaining characters
		for i := start; i < len(runes); i++ {
			currentCombo = append(currentCombo, runes[i])
			searchForCombos(i+1, currentCombo)
			currentCombo = currentCombo[:len(currentCombo)-1]
		}
	}

	searchForCombos(0, []rune{})
	return combos
}
```
You can see that we've chosen a solution to uses recursion. 

The approach is pretty simple. Given a string, start from the first character and generate the combinations that are possible by incrementing across the remaining characters making sure not to include any combinations that have already been generated.

How can we make it better? What would you change if you wanted to consider reordering characters to get all permutations? 

Put your comments and suggestions below.

Thanks!

_The code for this post and all posts in this series can be found [here](https://github.com/johnscode/gocodingchallenges)_
The next generation of GitHub profile stats
Tags: github, opensource, stats4nerds, automation
Published: 2024-06-14 21:21:59

There are several great tools and guides out there for collecting statistics on your GitHub profile
- [anuraghazra/github-readme-stats](https://github.com/anuraghazra/github-readme-stats)
- [hoangsonww/Profile-Readme-Cards](https://github.com/hoangsonww/Profile-Readme-Cards)
- [omsimos/github-stats](https://github.com/omsimos/github-stats)
- [sitepoint guide](https://www.sitepoint.com/github-profile-readme/)
- [brunobritodev/awesome-github-stats](https://github.com/brunobritodev/awesome-github-stats)

But none of those tools offer the freedom, customization, detail, privacy, or level of flair I would prefer.

So a while back I set about to implement an entirely new system of stats collection and showcasing.

Today I am happy to share how I am currently generating graphics like this one:

![Luke Hagar's GitHub stats](https://raw.githubusercontent.com/LukeHagar/github-stats-remotion/main/out/readme.gif)

This graphic is generated in two parts:
* First there is a [GitHub action](https://github.com/LukeHagar/stats-action) that pulls the stats on a cron schedule using the GitHub SDK and a personal access token and saves the stats to a JSON file in the repo
* Second there is a [remotion GitHub action](https://github.com/LukeHagar/github-stats-remotion) that consumes that JSON file and generates various GIFs that I have designed ahead of time to showcase the stats however I want.

I have configured [my repo as a template repository](https://github.com/LukeHagar/stats) so anyone can easily use the template to collect stats for their own GitHub profiles.

I'm excited to see what things the community builds from here!
Function Multi-Versioning: The Swiss Army Knife of Code
Tags: gcc, afmv
Published: 2024-06-14 21:21:45

Hey tech tribe! 🗡️

Let’s talk about something that’s got all the versatility of a Swiss Army knife – Function Multi-Versioning (FMV).I know I have talked about it before but trust me it is different this time. It’s not just a fancy term; it’s a game-changer for developers juggling different CPU architectures.

Imagine you’re at a cook-off, and you’ve got to make a dish that impresses every judge with their unique tastes. That’s what FMV does for your code. You write a function, and FMV makes sure it’s the best darn function for every kind of CPU it might run on. Whether it’s x86-64 or aarch64, FMV has got you covered. It’s like having a single knife that can slice, dice, chop, and julienne – all with perfect precision! 🔪

There are a few ways to use FMV. You can manually create different versions of your functions, or let the compiler do the heavy lifting with something called automatic cloning. It’s like having a sous-chef who not only preps all the ingredients but also makes sure every dish is seasoned to perfection.

Our ultimate goal? To implement Automatic Function Multi-Versioning (AFMV) in GCC for aarch64. It’s the next evolution of FMV, making sure that your software isn’t just good, but great, no matter where it runs.

So, here’s to FMV – the Swiss Army knife in your coding toolkit, ensuring your code is always sharp and ready to impress! 🥳
Weekly Updates - June 14, 2024
Tags: couchbase, community, rag, learning
Published: 2024-06-14 21:15:16

Hi everyone!
Hope you had a good week! 
Time for our weekly announcements:

- ❗**Important announcement regarding the Community Hub** - We are continuously working hard in creating and growing a cohesive community using platforms you are familiar with and enjoy using. With that being said, we are announcing today the **retirement of the Couchbase Community Hub**. 
We realized that we will be able to create a better community focusing our efforts on [_Discord_](https://bit.ly/3JGCeUg) and the [_Forum_](https://www.couchbase.com/forums/) and continuously work on improving your experiences on both platforms. 
<br>

- 📖 **New Blog: Learn more about the Couchbase Ambassador Program** - Are you excited about Couchbase, want to learn more and share your excitement with your own communities? Apply to be an Ambassador! [*Read about the Ambassador program here >>*](https://www.couchbase.com/blog/couchbase-ambassador-program/)
<br>

- 📺 **New Video: Using RAG for PDF Vector Searching** Using LangChain and OpenAI, see how you can upload a PDF file to Couchbase and then search the text in "chat" mode  [*You can watch the video here >>*](https://www.youtube.com/watch?v=aMpJVsJZECc)
<br>

- 🎓 **Free 90-minutes hands-on course for developers coming to a time zone near you!** Check out our FREE hands-on course for Developers. In just 90 minutes with a dedicated instructor, you'll learn everything you need to get started with Couchbase Capella and kick off your Couchbase certification journey. [*Find a course that suits your time zone here >>*](https://www.couchbase.com/couchbase-capella-test-drive/?utm_campaign=adaptive-apps&utm_medium=event&utm_source=meetup&utm_content=webinar&utm_term=developer)

Have a great weekend everyone! 👋 
And to all of my fellow ⚽ fans, happy Euro 2024 kickoff!
Prevents Double Payment Using Idempotent API
Tags: systemdesign, fullstack, systemdesigninterview, softwareengineering
Published: 2024-06-14 21:14:41



> Two brothers wanted to start a business but struggled to set up an online payment system. So, they decided to create their own service, calling it Stripe.

## The Double Payment Problem
As Stripe's user base grew, they encountered issues with double payments, where users were accidentally charged twice for the same transaction. Here are the main reasons for this:
1. Server Error
The server might fail while processing a request, leaving the client unsure if the transaction was successful. Retrying could lead to double payment.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pa9wwzoqt4h6f76dge5h.png)


2. Network Error
The server processes the request, but a network failure prevents the response from reaching the client. Again, the client doesn't know if the request succeeded, so retrying might result in double payment.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/nkzt5rch8dsb7wrgckwt.png)


## Idempotent API
To solve this issue, Stripe developed an idempotent API, ensuring that a request can be safely retried multiple times without side effects. Here's how it works:

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7wusa53uqyacb46rn75d.png)


1. Idempotency keys
Each request includes a unique idempotency key (a UUID) in its HTTP header.
This key is used to track if the request has already been processed.
If the request is new, it gets processed and the key is stored.
If the request has been processed before, the cached response is returned.
Idempotency keys are stored in an in-memory database and are removed after 24 hours to reduce storage costs.
2. Retrying Failed Requests

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0avh932v54v49ice142x.png)


To prevent server overload, Stripe uses an exponential backoff algorithm with jitter. This means adding increasing delays with some randomness between retries to avoid overwhelming the server with simultaneous requests.
By implementing these strategies, Stripe effectively prevents double payments and ensures reliable transaction processing.
Automatic Function Multi-Versioning: The Lazy Programmer’s Dream!
Tags: afmv, multiversioning, assembly, aarch64
Published: 2024-06-14 21:14:08

Hey there, code wizards! 🧙‍♂️

Imagine a world where you write a piece of code, sit back, and the computer magically makes it work on all kinds of different hardware. Sounds like a dream, right? Well, say hello to Automatic Function Multi-Versioning (AFMV) – the lazy programmer’s dream come true! 🌟

In our quest to make GCC (GNU Compiler Collection) smarter, we’re implementing AFMV for the aarch64 architecture. What does this mean? It’s like having a genie who clones your functions into multiple versions, each tailored for different micro-architectural features. You don’t have to lift a finger (well, except for typing the initial code, but let’s not get picky!).

Here’s the deal: normally, you’d have to write different versions of your functions to cater to various CPU features. It’s like making different kinds of pizzas for people with different tastes. One for the spicy lovers, one for the cheese enthusiasts, and one for the pineapple-on-pizza weirdos. 🍕 With AFMV, the compiler does this for you! It’s the ultimate life hack for programmers, reducing the time spent tweaking code for different hardware.

So, next time you’re coding, remember that AFMV is like having your own personal genie in a bottle. Just make sure not to wish for infinite loops – those never end well!

Thank you for reading!! Until next time happy coding!!🚀
The Juggling Act of Multiple Architectures
Tags: fmv, lmv, afmv
Published: 2024-06-14 21:09:58

Hey, folks! 🤹‍♂️

Ever tried juggling flaming swords while riding a unicycle? No? Well, that’s pretty much what handling multiple computer architectures feels like! In our Software Portability and Optimization course, we’re diving deep into the world of x86-64 and aarch64 architectures. They’re like the Batman and Robin of computing, each with their own unique set of tricks and tools.

These architectures come with a smorgasbord of micro-architectural features. Think of these as special moves in a video game – from cryptography acceleration to SIMD capabilities, each feature is like an extra power-up. But here’s the kicker: not all processors have all the features, so coding for them is like trying to write instructions for a treasure hunt in a mansion, not knowing if everyone has the same map!

If you write software that relies on a feature not available on a user’s CPU, it’s game over. Literally. The software crashes. 💥 So, developers have to juggle – make the software flexible enough to run on any machine while also taking full advantage of any available superpowers.

Multi-versioning comes to the rescue! 🦸‍♂️ It’s like preparing multiple versions of our treasure hunt instructions, each tailored for different maps. Whether it’s Library Multi-Versioning (LMV) duplicating whole libraries or Function Multi-Versioning (FMV) creating multiple versions of functions, it ensures that no matter what CPU the user has, they get the best possible performance. Now that’s some serious juggling!

Thank you for reading.Until next time happy coding!!🚀
SIMD and SVE: The Superheroes of Speed!
Tags: simd, sve, superheroes
Published: 2024-06-14 21:05:59

Hey there, fellow tech enthusiasts! 👋

Let’s talk about some true unsung heroes of the computing world – SIMD and SVE. No, they’re not the latest Marvel superheroes (though they might as well be!). These acronyms stand for Single Instruction, Multiple Data (SIMD) and Scalable Vector Extensions (SVE). If you’re scratching your head wondering what they do, imagine a superhero with the power to handle multiple tasks simultaneously with lightning speed! ⚡️

SIMD is like having a superhero team where each member can handle a different piece of the puzzle simultaneously, boosting performance without breaking a sweat. It’s a lifesaver when you’re dealing with large datasets, making your computer blaze through operations that would otherwise take forever.

But wait, there’s more! Enter SVE and its sidekick SVE2, extensions designed to make our CPUs even more flexible and powerful. They’re like upgrading your superhero team with new gadgets and powers, allowing them to tackle an even broader range of challenges. 🚀

So next time your computer zips through a complex task, give a nod to SIMD and SVE – the unsung heroes behind the scenes!
Litlyx | The One-Line Code Analytics | Plug anywhere!
Tags: javascript, typescript, vue, nextjs
Published: 2024-06-14 21:05:36

## What is Litlyx?

Litlyx is a simple, open-source analytics tool designed to help businesses and developers track KPIs effortlessly. With its lightweight size (<4kb) and real-time capabilities, [Litlyx](https://litlyx.com) makes it simple to monitor and analyze your data with minimal setup.

## What Was the Problem?

In today's data-driven world, businesses often struggle with complex docs and expensive analytics tools that require extensive setup and maintenance. These tools can be difficult to customize, and many lack the ability to provide real-time insights or comprehensive KPI tracking with high customization.

## What is the Solution?

Litlyx offer a powerful yet easy-to-use analytics platform. With just one line of code, you can start tracking over 10 KPIs, making it accessible to businesses of all sizes. Litlyx combines high customization, real-time data analysis, and affordability to provide a superior analytics experience.

## Easy Setup for Litlyx

One of the standout features of Litlyx is its incredibly simple setup process. By embedding a single line of code into your website or application, you can start collecting valuable data immediately (real-time). Plug natively in all JS/TS frameworks (e.g Vue, Next, Nuxt, Bun, Angular, React and many more)

## Features of Litlyx

- **Real-Time Capabilities**: Get immediate insights into your data with real-time tracking and reporting.
- **Track Over 10 KPIs**: Monitor essential performance indicators effortlessly.
- **Anonymous (privacy first)**: All collected data are anonymous & GDPR Compliant
- **High Customization**: Tailor the tool to meet your specific needs and preferences with custom-events.
- **AI Data Analyst Assistant**: Leverage AI to analyze for you your data and provide actionable insights.
- **Report Generation**: Create detailed reports to share with stakeholders and make informed decisions.
- **Affordable Pricing**: Access all these powerful features without breaking the bank.

## Open Source

Litlyx is proudly open-source on [Github](https://github.com/Litlyx/litlyx)! Leave a star ✩!
This ensures that the tool remains up-to-date, secure, and adaptable to the ever-changing needs of businesses. Being open-source also means that you have complete transparency and control over the software, giving you the flexibility to modify and self-host it if you want.

---

With Litlyx, tracking and analyzing your business data has never been easier or more efficient. Experience the benefits of real-time insights, extensive customization, and a user-friendly setup—all at an affordable price. Start using Litlyx today and take your analytics to the next level FOR FREE!