Here is how I solved it:
β‘ Problem: OCC locks documents; manual merging wastes critical outage minutes.
β‘ Solution: CRDTs (Conflict-Free Replicated Data Types) via Yjs + Hocuspocus. Every keystroke converges automatically with zero merge conflicts.
Code quality > quick hacksπ
What happens when 10 engineers edit an incident doc during a P0 outage?
In traditional CRUD, the last "Save" overwrites everyone else's findings (or throws a 409 Conflict).
So,I built SignalDesk β a real-time incident intelligence & collaboration backend.
https://t.co/89eYoSzutJ
Just attended #GitHubUniverse 2026 and wow. The way developer workflows are changing is unreal. New architecture, brand new functionality, & a new era for how we build software. Excited to dive in. π
As a developer seeing where dev tools are heading made me even more excited. π»
@MaximLevoshin I'm want to join and hustle! A fresh grad from Computer science and Engineering with MERN stack developer, With AI/ML knowledge. Happy to connect with you.
Hey Techies...!
I'm looking to #CONNECT with people interested in:
- Frontend
- Backend
- Full stack
- DevOps
- AI/ML
- Data Science
- UI/UX
- Freelancing
- Startup
- Saas
Say hi & Let's grow together #BuildingInPublic#TechCareer#Coding
Excited to share that I scored 98.36 percentile in Naukri Campus Young Turks 2026, presented by HCLTechπ
Competing against students across India makes this achievement even more rewarding.
Grateful to Naukri Campus and its industry partners for recognizing this.
#NaukriCampus
@dogramaci These points make workflows easier :
1.Version prompts like code.
2. Separate structure from content.
3. Build an eval set early.
4. Pin model versions and re-run evals before upgrading.
5.Keep prompts short and prune patch rules.
6.Validate outputs in code.
Hey Everyone π
Today Studying some more in AI π€
A developer's guide to AI fundamentals & prompt engineering: base vs. instruction-tuned LLMs, the iterative prompt cycle, temperature, chatbot memory, and cutting hallucinations.
#AI#LLM#PromptEngineering
If you get a new backend requirement, how do you design its MongoDB schema?
To answer this, I built CampusStore β a campus student marketplace designed database-first, not feature-first. π§΅π
Complete documentation and Postman test collections
https://t.co/hrOBsoo72I
Hey, everyone! π
Introducing workflowX βa step ahead in the journey of becoming a better developer. π»
This weekend, I focused on building the backend, learning through implementation, fixing bugs, and understanding
Check: https://t.co/5ho03LaQgG
More projects coming soon!π
Progress Dailyπ§βπ»
Backend Engineering Roadmap β New Update!
Iβve been working on a Multi-Device Hybrid Authentication System to understand how real-world authentication works.
Check it Out:
https://t.co/gbir4N5RRx
Learning by building.
#BuildInPublic#100DaysOfCode
Following along or studying backend? β Star the repo and track the daily updates
check out the code & architecture guides: π
Follow along, if you're on backend path too!
https://t.co/gbir4N5RRx
Feedback is always welcome!
#buildinpublic#backend#learninginpublic#tech
Iβm turning my backend engineering journey into a living open-source roadmap that grows with every new concept I build.
Instead of just reading theory, I'm building real architectures, documenting every concepts and update dailyπ§βπ»
https://t.co/gbir4N5RRx
#buildinpublic#learning
Few days into DSA.
Slowly realizing itβs not just about solving questionsβitβs about learning how to think about problems logically.
Now, connections of logic are starting to click.
Still learning. Still figuring things out. π»π§
#dsa#daysofcoding
Iβm excited to share that I have successfully completed my AI Web Development internship at InAmigos Foundation.
This internship gave me the opportunity to learn new technologies, explore real-world development practices, and gain valuable hands-on experience.
@NVIDIAGeForce Training deep neural networks on local hardware shouldn't mean endless waiting.
A GeForce RTX 50 Series laptop gives me the desktop-grade Tensor Cores needed to optimize custom LLMs and accelerate training loops on the go. Time to build faster!
#RTXPowersPlay#RTXOn
@NVIDIAGeForce Training deep neural networks on local hardware shouldn't mean endless waiting.
A GeForce RTX 50 Series laptop gives me the desktop-grade Tensor Cores needed to optimize custom LLMs and accelerate training loops on the go. Time to build faster!
#RTXPowersPlay#RTXOn