@0xcrackedDevi
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Looking for opportunities, 2x Intern, 4 Hackathon, Open Source Developer, Technical Writer, prev @open_sre ex @pldevguild https://nitter.cf/t.co/BCp6eYGZvR
Galactic Barrier
Joined November 2023
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- Followers922
- Likes12.2K
building for the @colosseum crypto world’s fair hackathon with @subhdotsol.
code running music playing, it’s 4am and we’re still building like we have somewhere to be tomorrow
"Mitra Di MARZI"
0xCrackedDev retweeted
dropping my @github here for anyone willing to take a look
if you were a founder or HR, what would make you take a second look at my profile. what should i improve, build or remove ?
My Solana High Yearbook says: I am most likely to start a new side project mid-refactor.
solanahigh.com/
The recent highlight of what I did to the portfolio. Don't remember where got the idea. But the moving circle is something I cooked with help of Claude. I really like this so far.
0xCrackedDev retweeted
I love mechanical keyboards, but actually using one isn’t always practical.
So I built Keytone — an open-source app that gives any keyboard mechanical keyboard sounds while you type.
Built in under 24 hours. Sundays can be productive sometimes, haha.
Works on macOS, Windows & Linux. Still early, so bugs are welcome :)
keytone.vercel.app
github.com/Devesh36/KeyTone
Well spent the week ripping out old legacy code of 4K lines and replaced it with only 160 lines of code. Peak refactoring week. Sharing what I did,
dev.to/yashksaini/dev-log-22…
Here are the 7 AI project ideas I would build for AI Engineer or GenAI Engineer portfolio:
1. RAG Pipeline with Hybrid Search
Build a Retrieval-Augmented Generation (RAG) system that combines dense vector search with BM25, and includes reranking, embeddings, and a vector database.
2. Text-to-SQL with Guardrails
Create an application that converts natural language questions into SQL queries. You should include validation, safety checks, and controlled database execution.
3. Fine-Tuning Pipeline with LoRA
Customize a Large Language Model (LLM) using LoRA/QLoRA instead of just relying on prompting. Include quantization, training, evaluation, and model serving in your pipeline.
4. LLM Gateway with Rate Limiting + Fallback Routing
Build infrastructure that connects multiple LLM providers through a single API. This should handle retries, fallbacks, routing, latency, token management, and cost tracking.
5. Prompt Versioning + A/B Testing Platform
Treat prompts like production code. Implement a system for version control, evaluations, metadata tracking, A/B testing, monitoring, and rollback capabilities.
6. Automated Evaluation Dataset Generator
Develop a system capable of automatically creating evaluation datasets from a knowledge corpus and using them to measure RAG performance.
7. Agent Orchestration System
Build workflows for multi-step or multi-agent systems. Incorporate state management, memory, tool calling, human-in-the-loop workflows, and overall orchestration.
Rather than building all seven, the I recommend picking 2–3, understanding them deeply, and deploying them with documented architecture and trade-offs.
The suggested order for learning is:
RAG → Text-to-SQL → LoRA → Agent Orchestration → LLM Gateway → Evaluation → Prompt A/B Testing
Take a good loop people this is about to be shredded today. New patch coming up in few mins
yashksaini.vercel.app/
0xCrackedDev retweeted
For the past few months, I’ve been feeling a little lost and unable to sit and code for long hours. So I decided to take a break from calls and focus on getting that discipline and quality back.
Me and @narsixyz did a 10 hour sprint every day for the past 3 days. Honestly, it feels refreshing to be back.
We studied Rust, compilers, and Solana internals just diving deep and enjoying the process again.
🎟️ Claimed my profile on the new home for #buildinpublic.
Come find me: buildinpublic.com/?ref=0xcra…
I removed a layer which resulted in this. I thought it would be a small codebase with small old function usage.
The code compiles successfully, but is it right ?
A interview question I attempted correctly but the answer was wrong.
Live on Youtube/Twitch, today will be reading Containers, Iterators and Ranges.
youtube.com/live/CD3xTwWYoIY…
Just dropped another Dev Log #21: The glue that holds distributed systems together. Spent the week jumping between Python (libp2p) and Go orchestrators.
- Hardened WebRTC-Direct cross-language interop
- Squashed frustrating SCM polling leaks
- 11 PRs to make sure connections actually close
Read the full deep dive here: dev.to/yashksaini/dev-log-ha…
🤖 Made with AI
Time for me to revive this thing. Been over 3 weeks of my last stream. Also do you think I should keep the AI generated thumbnails or go create generic ones