@0xcrackedDev

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
0xCrackedDev retweeted
the kind of timeline I’m happy to be stuck in builders, hackers, rust enjoyers & solana degenerates we’re cooking
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0xCrackedDev retweeted
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"
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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 ?
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0xCrackedDev retweeted
my new portfolio's live 101xanshu.com
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My Solana High Yearbook says: I am most likely to start a new side project mid-refactor. solanahigh.com/
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Alright going to take this challenge now, and hopefully finish it before October arrives.
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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.
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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
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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
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Take a good loop people this is about to be shredded today. New patch coming up in few mins yashksaini.vercel.app/
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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.
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I removed a layer which resulted in this. I thought it would be a small codebase with small old function usage.
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The code compiles successfully, but is it right ? A interview question I attempted correctly but the answer was wrong.
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This auto keyword is so damn cool.
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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
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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
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0xCrackedDev retweeted
when i was studying ai i followed this roadmap i made sure to send google senior ai engineer asked for his opinion and then was following this roadmap share here incase its helps
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