Top Tweets for #100daysofdev
🔥Day 1 / #100DaysOfDev (Xprs)
Started backend today with Express.js🚀
Built my first server, learned middleware & finally understood req, res, next().
Small start >No start.
Wrapped up the day with a mojito party🍹-balance matters😌
#Backend #ExpressJS #BuildInPublic #WebDev
Now it's Time for doing something next Level!!📈🔥🔥
STARTING THE Dev Seriess #100daysofdev from Tomorrow Guyzzz😎😎😎💯💯
🚀 Day 54 of #100DaysOfDev
Using Google Antigravity taught me this:
AI works best when you bring clear architecture and standards.
With good direction, it doesn’t just generate code — it preserves structure, context, and quality like a real teammate.
#BuildInPublic #AIinDev
Day 1/100 🚀
I’m starting my journey to master Full-Stack Generative & Agentic AI with Python 🧠🤖
following @ChaiCodeHQ @Hiteshdotcom
Today’s focus: Python fundamentals
Let’s go 👇🧵
#100DaysOfCode #100daysOfdev
🚀 Day 42 of #100DaysOfDev
🤖 AI is powerful — but it’s not a shortcut to mastery.
💡 Tip:
1️⃣ Design your app’s flow yourself
2️⃣ Then use AI to speed up coding
AI shines after you understand the logic-not before
Build first. Automate later. 💪
#AIinDev #100DaysOfCode #Frontend
Sunday reset mode: coffee, calm music, and planning next week’s code goals. ☕🕊️
#SundayVibes #DevLife #100DaysOfDev #WinterArc #CodeJourney #WebDev #DeveloperCommunity #SelfImprovement
🚀 Day 40 of #100DaysOfDev
💡 In JS, Date objects store time, day, month & year — mastering them saves hours of debugging.
🧭 Quick tip:
Use new Date() for now,
.getFullYear() / .setMonth() to read or update parts,
and .toUTCString() for clean output.
#JavaScript #WebDev
🚀 Day 34 of #100DaysOfDev
Manual install of Frappe + ERPNext on Ubuntu 🛠️
Docker is easy, but going manual = real control + deeper understanding. Perfect for devs who want to learn the internals.
👉 https://t.co/Hl5naPBYqq
#ERPNext #Frappe #Ubuntu #100DaysOfCode
🚀 Day 32 of #100DaysOfDev
Learning JS by doing → I built a GitHub repo with practical examples to deepen my core JS skills. Regularly updated as I learn more.
👉 https://t.co/X5hq8Mxi7i
#100DaysOfCode #JavaScript #WebDev #LearnByDoing
🚀 Day 31 of #100DaysOfDev
Auth isn’t “just a login form.” It’s tokens, redirects, refresh flows & security layers — a hidden maze every dev should walk through at least once. 🔐
👉 https://t.co/2yKKG6vU4t
#100DaysOfCode #WebDev #Security
🚀 Day 34 of #100DaysOfDev
Pagination isn’t just about flipping pages. It’s about balancing server fetches with client state for a smooth UX. Knowing the core logic helps you go beyond libraries and customize with confidence.
#100DaysOfCode #WebDev #Frontend #LearnInPublic
🚀 Day 33 of #100DaysOfDev
useRef vs useState: both store values, but only useState triggers re-renders.
Refs update instantly without re-rendering ⚡.
Common use: attach to a DOM element → access it via ref.current.
#ReactJS #WebDev #100DaysOfCode #Frontend
🚀 Day 32 of #100DaysOfDev
Diving into getServerSideProps in Next.js → fetch data on the server & pass as props before render. Different from useEffect, which runs only after render. Perfect for SEO & fresh data.
#100DaysOfCode #NextJS #ReactJS #WebDev #CleanCode
🚀 Day 31 of #100DaysOfDev
Refactoring React → patterns that make code cleaner & scalable:
🔹 Single Responsibility
🔹 3-Layer Architecture
🔹 Compound Components
🔹 Custom Hooks
📝 Full post:
https://t.co/pRIgrPcQGK
#ReactJS #WebDev #CleanCode #100DaysOfCode #leetcode
🚀 Day 28 of #100DaysOfDev
LeetCode: Promise Time Limit → Wrap any async fn so it rejects if it runs too long.
Solution:
https://t.co/n4hgqs0V3h
#100DaysOfCode #JavaScript #AsyncJS #WebDev
🚀 Day 26 #100DaysOfDev
Taking a break with a tiny JS win — LeetCode “Counter”.
Clean, minimal, works.
🔗https://t.co/ytjafCbCE6
#100DaysOfCode #JavaScript #LeetCode #NextJS #webdev
🚀 Day 25 #100DaysOfDev
Real-world auth ≠ tutorials 😅 Next.js+GoogleCalendar: tokens die mid-demo, sometimes no refresh_token, client vs server expiry.
TODO: refresh server, update cookies, centralize tokens.
🔗 https://t.co/RbHtNQG3fy
#100DaysOfCode #NextJS #LeetCode
Day 20, 21, 22,23
doing a transfer learning on previously created model. Basically created a dataset on which parameters of other model are been copied. this was done by freezing the base level of our model and updating the classifier layer.
#100daysofdev
#100daysofMLcode
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