satyajit patnaik @satyajitrocks
A software developer in progress Joined September 2009-
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Introducing Claude Sonnet 4.5—the best coding model in the world. It's the strongest model for building complex agents. It's the best model at using computers. And it shows substantial gains on tests of reasoning and math.
Introducing Cursor Learn! My first course is a six-part video series on AI foundations. It's designed for beginners to learn concepts like tokens, context, and agents. If you prefer to read, there's quizzes + AI models to try out. You can watch it in ~1 hour, 100% free!
My new favorite model list Coding - Sonnet-4, Grok code Reasoning - GPT-5 high Writing - GPT-5 medium Video - Wan 2.5, Kling 2.5 Image - SeaDance, NanoBanana News - Grok 4 OCR - Gemini Flash Classification -GPT-4 mini Voice - OpenAI, ElevenLabs Best for fine-tunes - Qwen, Llama…
A 20-minute masterclass on MCP (Save this for later)
Give Claude Code a semantic filesystem 🗃️🛠️ Giving Claude Code access to the right CLI tools over your filesystem turns it into a general agent capable of automating far more knowledge work beyond code - it can do dynamic financial/legal/medical/technical/backoffice analysis…
Subagents in Claude Code work like a coordinated team: one debugs, another tests, another refines. Each becomes an expert at its task, working in sequence to solve the problem at hand.
Complete #GitHubActions Course - From BEGINNER to PRO Explore everything from the fundamentals of the platform through building out a DevOps system complete with workflows to test, build, and deploy a #microservices apps youtu.be/Xwpi0ITkL3U?si… #DevOps
You're in a ML interview at Meta The interviewer asks : "How do you choose a vector database?" You reply : "I'd benchmark recall and latency." That's only 20% of the problem. Here's how you break it down 🧵:
how to become elite at AI (step by step breakdown):
Memory systems I’d learn if I wanted LLMs to think long term. Bookmark this. KV-Cache Compressed KV-Cache External Vector DBs Episodic Memory Working Memory Buffers Attention over Past States Recurrent Memory Layers Memory-Augmented Transformers Long-Context Attention Sliding…
You don’t need 10 years of experience to stand out in tech. You just need to master the fundamentals that 90% of people skip. Here are 7 fundamentals that will level up your career 👇
Turn design into code with Claude Code + @figma. Through MCP, Claude sees your mockup at the data level—component hierarchies, design tokens, auto-layout rules—and translates it into production-ready code.
LeetCode, but for Linux, Docker, and Kubernetes? 🧐 Check out my collection of carefully crafted practical problems - with automated checks, helpful hints, and step-by-step solutions: labs.iximiuz.com/challenges A hands-on challenge a day keeps skill rot away.
Claude > ChatGPT Claude > Grok Claude > Gemini But 99.9% of the users don't know how to get 100% accurate results from Claude. To fix this you need to learn how to write prompts Claude. Here's a complete guide on how to prompts for Claude using XML tags to get best results:
This guy literally dropped a Claude Code masterclass to build apps 10x faster
Caching Strategies in System Design ➤ Role of Caching → Store frequently accessed data in faster storage (memory) → Reduce latency and database load → Improve system performance and scalability ➤ LRU (Least Recently Used) → Definition: Evicts the cache entry that has…
On interviews you might be asked which data structure to choose appropriately for the use case. I'm providing a list and an example for each one: →Fast lookup → HashMap Use Case: Implementing a cache. HashMap provides an instant O(1) lookup using the user's ID as the key…

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