Mastering RAG-Generation: Building Next-Gen GenAI Apps with LangChain, LlamaIndex, and LLMs! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist
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Educational Guide to Designing and Implementing AI Agents
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AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools -
Practical Guide to Building LLM and RAG Apps with LangChain
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"Generative AI and RAG for Beginners: A Practical Step-by-Step Guide to Building LLM and RAG Applications with LangChain and Python" Get your copy at http://
amzn.to/3MZZ9R5 Independently published: December 2025
Print length: 255 pages -
Architectural design of open-source AI libraries
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真没见过哪个开源 Repo，能把 18 个 use case 塞进去还没乱套。
— 艾略特 (@elliotchen100) 10 mai 2026
架构方法、Benchmark、Memory 模式，一库打尽。 https://t.co/9z2G8VxrSvI've never seen an open-source repo that can cram 18 use cases in without turning into a mess. Architecture methods, benchmarks, memory patterns—all covered by one library.
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Essential AI Learning Resource for Engineers Discussed
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this is a big deal, on the order of Kelsey Hightower’s “Kubernetes The Hard Way” and probably all ai engineers should go thru this once mostly i advocate “just in time learning”, but this is one scenario you want “just in case”
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Scaling Senior Engineer Productivity with Claude Code and Multi-Agent Workflows
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Así escala de verdad un Senior Engineer con Claude Code.
— Nico (@nicos_ai) 9 mai 2026
La diferencia está en mover tu tiempo hacia lo que más importa:
→ mejores prompts, más planificación, más review, menos tecleo.
El workflow:
usa un plugin que divide cada tarea entre 5 agentes:
– uno hace brainstorming
-… pic.twitter.com/PkMxnKfmEJHere's how a Senior Engineer truly scales with Claude Code. The difference lies in shifting your time toward what matters most:
→ better prompts, more planning, more review, less typing. The workflow:
use a plugin that divides each task among 5 agents:
– one does brainstorming -
Codex Automates Expense Reimbursements
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Codex quite literally filed my reimbursements, downloaded invoices since the start of the month, updated the expenses spreadsheet and filled the actual form all by itself Used Drive & Sheets plugin for state tracking
Gmail plugin for tracking invoices
Chrome extension for actual -
Using LangSmith for Organizational AI Agent Collaboration
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one way to view langsmith is as a platform for the whole org to collaborate on building agents helps speed up that feedback loop between different personas
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Managing multiple AI coding threads and workflows
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to be clear, im not even running inference. just like, 5 Codex threads + 1 Claude Code thread plus a few other things
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Claude Code sees 15x growth and SQL debugging feature
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Guessing you're looking at npm-only data. We switched to a native installer a few months back, so the majority of installs aren't captured here. Thursday was the second-highest Claude Code signup day we've ever had (15x growth since Jan 1). Ask Claude to debug your SQL?