SLSarika Lalinsarikalal.hashnode.dev·6h ago · 8 min readDid You Say, “Let’s Add AI”?AI has become an increasingly visible part of software products. It strengthens sales conversations, attracts customer interest, enables new workflows, and can reduce significant amounts of manual eff00
RRajshreeinrjshree.hashnode.dev·1d ago · 25 min readYour RAG Isn't Broken. Your Retrieval Pipeline Is.author: "RAJश्री" A practical guide to diagnosing and improving Retrieval-Augmented Generation systems Most RAG systems don't fail because the LLM can't answer the question. They fail because the LLM00
VAVahe Aslanyaninfreecodecamp.org·3d ago · 518 min readThe AI Agent Engineer's Guide: 60 Patterns for Building Autonomous Systems [Full Book]This book is a capability-led field guide to the architectures that make modern AI agents actually work. It includes code, failure modes, and illustrative composite case studies for every pattern. Abo10
GSGyan Solutionsingyansolutions.hashnode.dev·3d ago · 8 min readAI Should Not Make the Supply Decision: Designing Human-in-the-Loop Exception Management for Pharma Supply ChainsA pharmaceutical supply team can generate hundreds or thousands of operational data changes in a single week: demand revisions, CDMO milestone updates, inventory movements, delayed materials, quality-00
SASamuel Adekunleintechwithsam.hashnode.dev·4d ago · 6 min readAI Engineering for Flutter Developers — Getting Started with Gemini & On-Device AIIt’s been a while since my last release. You know, life happened :( I’m back now with more positive energy, and I’m starting a brand new series titled AI Engineering for Flutter Developers. This serie10
JSJaival Sutharinjaivalsuthar.hashnode.dev·6d ago · 21 min readKnowledge Vault: Finding Where RAG Retrieval Actually FailsBuilding a RAG system is relatively easy to demonstrate. Building one where you can measure why it fails, reproduce the failure, and identify which stage caused it is a very different engineering prob11K
Llukedunphyinagenticaiii07.hashnode.dev·5d ago · 11 min readEnterprise AI Is Not About Better Models. It’s About Building Systems That Can Survive Them I've become increasingly skeptical of the way enterprise AI is being evaluated. A company builds a prototype, connects an LLM to a few documents, gets impressive answers, and suddenly the conversation00
NSNilay Shahaneincuriousnilay.hashnode.dev·Aug 15 · 6 min readWhat LLM Parameters Actually Do (I Didn’t Even Know Half of These Existed)When I built my AI financial assistant, I was focused on getting the pipeline working: user query → retrieval → LLM → response. The model was responding correctly, but I realized something embarrassin10
SMScott McMahaninaitransformeronline.hashnode.dev·Aug 12 · 1 min readAI Infrastructure Engineering: Building the Foundation for Production AIDeveloping an AI model is only one part of creating a successful AI system. Production applications also require reliable infrastructure that can manage demanding workloads, move and store data, maint00
SSSai Sandeep Kantareddyintokenbytoken.hashnode.dev·Aug 12 · 10 min readStart Deterministic: Design Principles for Routers and Orchestrators in Multi-Agent SystemsI learned this lesson the practical way: by building agentic systems, watching them work, watching them fail, and then slowly realizing that “more agents” is not the same thing as “more intelligence.”11K