I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become

A senior Google engineer just dropped a 424-page doc called Agentic Design Patterns. Every chapter is code-backed and covers the frontier of AI systems: → Prompt chaining, routing, memory → MCP & multi-agent coordination → Guardrails, reasoning, planning This isn’t a blog

Docker Container Orchestration → Container orchestration is the process of automatically managing, scaling, deploying, and networking containers. → As applications grow beyond a single container, orchestration becomes essential for reliability and scalability. → Docker

LINUX SHELL & BASH SCRIPTING CHEATSHEET

25 Blogs to Learn 25 Kubernetes Concepts: 1) Kubernetes Architecture: https://t.co/zCvC72ij3n 2) POD Lifecycle: https://t.co/Nb3rYmEDHy 3) etcd Setup: https://t.co/zourpzr8ha 4) etcd Locks: https://t.co/uaaNdbsorN 5) crashloopbackoff: https://t.co/fqHet3dwCQ 6) OOMKilled:

18 things I would do in a software dev job to get a 300% switch offer: Why listen to me? - Secured multiple 300% or more switch offers - Hired people with significant raises for my startups let's get you a raise: 👇

Even rockets need hugs 🥰

Nvidia CEO: Greatness does not come out of intelligence, it comes from character. Character is not formed out of smart people: it is formed out of people who have suffered.

What happens if your CPU gets something wrong? If it wakes up one day and decides 2+2=5? Well, most of us will never have to worry about that. But if you work at a company the size of Google, you do, which is why this paper on "mercurial cores" is so fascinating. What the

what it’s like working in innovation

Kubernetes Components: API Server: Exposes the Kubernetes API for external and internal requests. ETCD: Stores the state of the Kubernetes cluster. Kube Controller Manager: Ensures the cluster remains in the desired state. Kube Scheduler: Assigns pods to nodes based on

@HackQuest_ Started with Web3 Basics course by @HackQuest_ #LearnwithHQ #14DaysOfLearning

@HackQuest_ Joined Town Hall 1! The journey towards Web3 has started🤟 Got to learn a lot from @geeky_kartikey sir about Basics of Web3 #LearnwithHQ #Web3withHQ @HackQuest_

Super excited to announce that I've been selected to participate in @HackQuest_ Co-Learning Camp 9! Absolutely stoked to learn about Web3👀 #LearnwithHQ #Web3withHQ

A VERY IMPORTANT INTERVIEW TOPIC : NORMALIZATION Normalization is a systematic process of organizing data in a database to reduce data redundancy and improve data integrity. The main goal of normalization is to structure a database in such a way that it minimizes data

Exploring the future of tech with Metaborong Technologies at Google Cloud Community Days 2024 Kolkata! 🚀🇮🇳 Join the revolution 💻✨ @Metaborong @gdgcloudkol #MetaborongTech #GCCDKolkata2024 #Web3 #Blockchain https://t.co/47EBjf17Is

🚨This week’s top AI/ML research papers: - An Object is Worth 64x64 Pixels - Self-Taught Evaluators - Transformers are Universal In-context Learners - Pre-training Once for Models of All Sizes - Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model

Transformer Explainer Really cool interactive tool to learn about the inner workings of a Transformer model. Apparently, it runs a GPT-2 instance locally in the user's browser and allows you to experiment with your own inputs. This is a nice tool to learn more about the

Visualization of what a model like ChatGPT does to produce such efficient responses!