Be honest π
Are you team Prisma or team Drizzle? Or are you still writing raw SQL like a warrior? π‘οΈπ
Are you team Prisma or team Drizzle? Or are you still writing raw SQL like a warrior? π‘οΈπ
Anonymous Poll
45%
Prisma
5%
Drizzle
50%
raw SQL
π1
session-flow-explained.txt
4.1 KB
SESSION FLOW β HOW AUTHENTICATION WORKS π
Yoww! This is the authentication flow I use across my projects β simple, reliable, and scalable.
Feel free to study it and adapt it to your own architecture
βοΈ @softwareAndCodes
Yoww! This is the authentication flow I use across my projects β simple, reliable, and scalable.
Feel free to study it and adapt it to your own architecture
βοΈ @softwareAndCodes
π₯3
Next level. Imagine programming in Amharicπππ
https://www.ethiocloud.com/bunnascript.aspx
https://www.ethiocloud.com/bunnascript.aspx
β€3
Softwares and codesπ¨βπ»
Photo
The idea behind it is making native Amharic speakers get comfortable in programming with their own language... But I saw the terms I was already confused fr... Var is nebelπππ
π7
One piece of advice from me:
donβt hold back your skills. Just use them fr.... yaβll thank me later!!!
π₯3π2
Forwarded from Tedros Codes (Tedros)
For Anime Lovers πββοΈ
Finally brought this project to the web. The original mobile app, Anime Discovery, used the Gemini AI to suggest shows based on any vibe or interest you described. While using AI for a full database isn't the correct way to build, it was great for personalized lists, so Iβm planning to add that intelligent feature to this web version soon.
For now, this version uses the Jikan API to handle data and suggestions properly. Vibe coded this in about 2-3 hours today.
Itβs strictly for discovery, so once you find a show, you can grab the files from places like MovieBox or T4TSA.
Check it out: Aniαα³
Me: I Built Sth
Gemini be like: α΅αα₯α΅ αα αα΄ π₯Ή
#VibeCoding
#Animαα³
@TedrosCodes
Finally brought this project to the web. The original mobile app, Anime Discovery, used the Gemini AI to suggest shows based on any vibe or interest you described. While using AI for a full database isn't the correct way to build, it was great for personalized lists, so Iβm planning to add that intelligent feature to this web version soon.
For now, this version uses the Jikan API to handle data and suggestions properly. Vibe coded this in about 2-3 hours today.
You might wonder why build something that already exists, but this is how you create something unique that addresses your own needs. Itβs about starting with whatβs there and building new features through the process.
Itβs strictly for discovery, so once you find a show, you can grab the files from places like MovieBox or T4TSA.
Check it out: Aniαα³
Me: I Built Sth
Gemini be like: α΅αα₯α΅ αα αα΄ π₯Ή
#VibeCoding
#Animαα³
@TedrosCodes
π5β€4
One thing I understood from this is that.....AI makes building software easier, not less valuable....Anyone can generate an app now, just like anyone can bake bread at home, but people still pay professionals for quality, reliability, and the details that matter......The same applies to software......Real products still need architecture, security, scalability, maintenance, and engineers who understand the nuances behind the scenes.....
βοΈ @softwareAndCode
βοΈ @softwareAndCode
π€10β€4π2
8 months ago, when I joined ZUS, I was struggling with CI/CD pipelines and Kafka. Every time I touched the pipeline, there was a good chance I would break something π
. I didn't fully understand deployments, build processes, environment variables, or how everything connected together.
Kafka was just as challenging. Concepts like topics, partitions, offsets, producers, and consumers seemed complicated, and troubleshooting issues could take hours.
Over time, I learned that the fastest way to grow is to stop being afraid of breaking things. Every failed deployment, every Kafka issue, and every debugging session taught me something new. I spent countless hours reading logs, reviewing documentation, testing solutions, and asking questions.
Today, the things that once confused me are part of my daily work. The lesson is simple: don't be discouraged when something feels difficult. Consistency beats talent when it comes to learning new technologies. Keep showing up, and keep learning.........
@SoftwareAndCodes
Kafka was just as challenging. Concepts like topics, partitions, offsets, producers, and consumers seemed complicated, and troubleshooting issues could take hours.
Over time, I learned that the fastest way to grow is to stop being afraid of breaking things. Every failed deployment, every Kafka issue, and every debugging session taught me something new. I spent countless hours reading logs, reviewing documentation, testing solutions, and asking questions.
Today, the things that once confused me are part of my daily work. The lesson is simple: don't be discouraged when something feels difficult. Consistency beats talent when it comes to learning new technologies. Keep showing up, and keep learning.........
@SoftwareAndCodes
π₯4π1