Prompt Engineering

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Philosophy

 🌳Tree-sitter  Content type: Reference
docs.langchain.com·

Release langchain==1.3.8 · langchain-ai/langchain

 🪟Tauri  Content type: Code
github.com·

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 ⚙️Performance Profiling  Content type: Blog  Content type: Discussion
tildalice.io·

New comment by alroma90 in "Ask HN: Who wants to be hired? (June 2026)"

 🗄Database  Content type: Discussion

APEX: Automated Prompt Engineering eXpert with Dynamic Data Selection

 🌳Tree-sitter  Content type: Academic
arxiv.org·

Introducing LLM as a Judge: Scaling search relevance evaluation with AI

 🗂️Obsidian  Content type: Blog
opensearch.org·

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

 🌳Tree-sitter  Content type: Blog
towardsai.net·

How to Run an LLM Locally: Ultimate Guide to Local AI 2026

 💻CLI Tools  Content type: Blog

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

 💻Systems Programming  Content type: News
infoq.com
·

Everyone Was Searching for Better AI Prompts. Then One Markdown File Changed Everything

 🗂️Obsidian  Content type: Blog
medium.com
·

Agentic AI frameworks compared: LangChain, LangGraph, AutoGen

 🌳Tree-sitter  Content type: Blog
udacity.com·

AI 101: From Prompt Engineering to Skill Engineering

 🤖Automation
turingpost.com·

The Best Frameworks for AI Agents in 2024: My Expert Picks & Why They Matter

 🛡️AI Security  Content type: Blog
medium.com
·

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

 🤖Machine Learning  Content type: News

Comprehensive evaluation of LLM capabilities for interpretation and analysis of genome-scale metabolic models in metabolic engineering

 🌳Tree-sitter  Content type: Academic
biorxiv.org·

MCP Architecture Explained for Beginners: Why AI Needs a Structured Communication System

 🛡️AI Security  Content type: Blog
medium.com
·

Why Your LLM Gets Dumber With More Context

 🤖AI
siliconopera.com·

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

 🗂️Obsidian  Content type: News  Content type: Blog

Stronger Search Architectures Can Substitute for Larger LLMs for AlphaEvolve

 📊Algorithms

high-performance classification API (beats GPT-5.4-mini)

 ⚙️Performance Profiling  Content type: Discussion
classer.ai··Hacker News

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