Context Engineering

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

 🤖Agentic Systems
pub.towardsai.net
·

A free diagnostic for the Claude Certified Architect exam

 AI Applications  Content type: Discussion  Content type: Tutorial

How to Set Up Codebase Indexing in Kilo Code

 ⚙️AI Engineering  Content type: News  Content type: Blog
blog.kilo.ai·

Claude Fable 5 and Mythos 5 pricing: Anthropic's new $10/$50 top tier

 🧠Claude

Show HN: Ext-Infer

 💻CLI Tools

Comparing Claude Fable 5's system prompt to Opus 4.8

 🧠Claude  Content type: Blog

Introducing SQL Data Insights Pro

 🤖Machine learning  Content type: Blog
research.ibm.com·

HabitOS: local-first AI habit tracker in your terminal (Rust + ratatui + sqlx)

 ⚙️AI Engineering  Content type: Code
github.com··r/rust

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

 🤖Machine learning
pub.towardsai.net
·

Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem

 🔌MCP  Content type: Discussion

10 MCP servers to connect LLMs with databases

 🔌Model Context Protocol
infoworld.com·

I Built a Private AI That Answers Questions From My Own PDFs — Entirely on My Laptop

 🪟Context Windows
pub.towardsai.net
·

Fine-tuning vs RAG vs MeMo: Where should LLM Knowledge Live?

 🪟Context Windows
pub.towardsai.net
·

What is Agentic RAG? Building Multi-Agent Agentic RAG Systems

 🤖Agentic Systems
pub.towardsai.net
·

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