Prompt Engineering

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My Notes on the Progression from Context to Prompt to Harness engineering in making GPT LLMs Useful: (TUESDAY) MAMLMs

 🎭Anthropic Claude  Content type: News  Content type: Blog

Context Engineering Is the Skill That Actually Ships Reliable AI Agents

 🎭Anthropic Claude

scottpurdy/llmbuffer: LLM conversation buffer with cache optimization and dynamic context.

 🎭Anthropic Claude  Content type: Code

How to Build an Agentic RAG with RubyLLM and Rails

 🗄️Databases  Content type: Blog
panasiti.me··Hacker News

The Rise of Agentic AI: What Every Engineer Should Learn

 💻Programming  Content type: Blog
medium.com·

Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale

 🏗️System Design  Content type: News
infoq.com
·

When Is It Actually a RAG Problem?

 🗄️Databases

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

 🗳️Paxos Variants  Content type: Academic
arxiv.org·

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🚀Performance  Content type: Blog  Content type: Discussion
tildalice.io·

Audio-first, deep-dive RAG Masterclass on YT it's called "Master RAG while you sleep"

 📔Journaling  Content type: Video

LLM Observability: What To Instrument and How To Act on It

 🛡️Privacy Engineering  Content type: Blog
blog.n8n.io·

AI 101: From Prompt Engineering to Skill Engineering

 💻Programming
turingpost.com·

Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG

 🌐Distributed Systems  Content type: Blog
research.google·

How to Defend Against Prompt Injection in Production

 🔒Security  Content type: Reference
leanpub.com··DEV

Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

 🎭Anthropic Claude  Content type: Blog
blogs.sas.com·

New comment by t_gamer_kle in "Ask HN: Who wants to be hired? (June 2026)"

 🗄️Databases  Content type: Discussion

Prompt Injection in RAG Agentic Systems

 🔮Speculative AI
ulad.net··Hacker News

Tiberius: A Security Testing Framework for LLM Applications in Java

 🔒Security
foojay.io·

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 🎭Anthropic Claude  Content type: Blog
towardsai.net·

New comment by Revanthkodati in "Ask HN: Who wants to be hired? (June 2026)"

 🤖ai

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