People who follow perfectionism are the biggest Procrastinators. Instead of finding perfectionism, just start and with time upgrade and modify yourself .
The moment you understand most full-stack concepts after that AI and cybersecurity don't feel that much difficult. They're different domains, but they all build on the same software engineering fundamentals.
After one Play Store rejection, 10 days of internal testing, and 7 days of Google's review, my app is finally live.
Built with privacy first and designed to stay secure in the post-quantum era.
Google Play: https://t.co/YnOPtRlIFz
#AndroidDev#CyberSecurity#Kotlin#OpenSource
Just tested Gemini 3.6 Flash and the newer 3.5 Flash models. Honestly, I'm not that satisfied. In the early days, every AI update felt like a huge leap, but now it feels like we've hit saturation. I don't see much noticeable improvement, and I wouldn't recommend for coding.
Before designing any robust, highly scalable system, you should know the anti-patterns. Otherwise, you'll go to build microservices and end up building the biggest anti-pattern: a distributed monolith. ๐
The most annoying thing in tech is that you keep learning from videos and playlists, go deeper into topics, then after a few days of switching, you forget half of it because you're not in a real production environment. No one tells you this.
After 2-3 years in tech, 1500+ GitHub commits, and PRs, I just found out there's actually a proper naming convention for commit messages. Still so much to learn. Miles to go.
@udit_twt instead of seeing register as a storage of cpu I see register as the chunk pocket or the bucket upto which a cpu can take data or tokens at a time to process . And depending on the register capacity there is 32 bit or 64 bit processors .
Opportunity Cost
Every opportunity has a cost. In tech and life, skipping a good option to save focus for a great one isn't a missed chanceโit's a strategic upgrade.
Ostrich algorithm
Like an ostrich burying its head in the sand and thinking the problem has gone, in the Ostrich algorithm, if any bug comes we assume that the condition is too rare or impossible, and simply ignore the problem. Sometimes in life, ignoring is good for peace๐ .