Abhiraj Thakur
@abhirajthakur21
Full-Stack Developer | Passionate about Innovative Tech | Lifelong Learner | Always Exploring New Technologies 🚀
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More Rust learning today! Dug into stack vs heap memory and the concept of ownership. Starting to appreciate how Rust manages safety and performance. 🦀
I read almost 100 pages of the "The Accidental CTO" today. Learn a lot like Microservice vs Monolith, Read Replicas, Kafka, Elastisearch
I'm giving away Claude Code for FREE. Yes, you read that right -- the world's best AI, now completely FREE. My mission is to get the next billion people to write great software. I believe EVERYONE should have access to the best AI, but so many are constrained by costs. I'm…
Just spent the afternoon debugging Docker networking issues🐳 The culprit? Hardcoded "localhost" references everywhere😅 ✅ Redis: localhost → redis ✅ PostgreSQL: localhost → db ✅ Frontend: vite preview → nginx Always use service names in docker-compose! #Docker #DevOps
LifeLens progress 🔧 - Frontend built + API integration - Dockerized both frontend & backend - Simplified deployment with Docker Compose Here's the github repo: github.com/abhirajthakur/… #BuildingInPublic #Docker #Frontend
🚀 Big updates to the Lifelens project! - Implemented conversation and message models - Enabled real-time streaming responses ⚡ - Added conversation management & message history Excited for these new features to enhance user experience! 🙌 #AI #BuildInPublic
Just watched a fantastic video by @shrutikapoor08 on useEffect! She clearly explains what useEffect is (an effect that runs after the screen is painted), when to use it, when not to, and much more. A must-watch for React devs! 👩💻⚛️
Gained so much insight from this.
The magic keyword is Access Pattern. A million users reading a news article is a completely different universe than a million users hitting the "like" button. One is a broadcast problem (one-to-many). The other is an ingestion problem (many-to-one). Treating them the same is…
LifeLens is finally returning solid responses after cleaning up some function calls and logic. Also revisiting SQL - finally got a JOIN query working after a few tries. Feels good to get it right from scratch. #BuildingInPublic #API #AI #SQL
Just integrated Celery with FastAPI in the LifeLens project ⚡ Now handling background jobs to process & store media asynchronously - faster, smoother, and scalable. #buildinginpublic #Celery #Python
Diving into Kubernetes for an assignment — exploring pods, deployments, services, and how it all fits together. Cloud-native concepts are finally clicking! #DevOps #Kubernetes #buildinginpublic
LifeLens still has hallucination issues, but it's already providing value. Next step: implementing conversation history and continuing to improve the system
Tool calling is partially functional. Debugging and improvements underway.
Spent the day working on tool calling integration for my Lifelens project. Ran into a few hiccups—still not functioning as expected, but I’ve got a clear idea of what needs fixing. Hoping to get it fully working by tomorrow. Progress over perfection. 💡💻 #buildinginpublic #AI
🎉 Just got my backend to successfully generate both OCR and image captions from captured images! Super excited to see it all coming together — one step closer to smarter image understanding. 📸 #buildinginpublic #AI #Python
🛠️Today's progress: - Deep dived into tool calling in AI Agents - Worked on auto-generating image captions & computing embeddings for the lifelens backend project - Continued @bootdotdev C course – manual memory management & pointer arithmetic #buildinpublic #LLM #backend
✅ Today’s wins: > Added OCR to the LifeLens project — now it sees things 📸🔍 > Kicked off memory management in C via Boot.dev 💻 > Learned about AWS Security Groups 🔐☁️ #100DaysOfCode #LearningInPublic
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