How PostgreSQL 18's async I/O and pgvector's latest features turn Postgres into a real production vector database for RAG and AI apps in 2026.

A practical 2026 guide to running local LLMs with Ollama — hardware requirements, VRAM math, and how to pick the right model for your laptop or GPU.

MCP explained plainly: what the Model Context Protocol is, how it connects AI models to real data and tools, and why it became the standard every major AI product adopted.

OpenClaw went from 9,000 to 60,000 GitHub stars in days and has since passed 210,000 — here's what the open-source project actually does and why it went viral.

A practical catalog of the 5 core agentic AI design patterns — ReAct, Plan-and-Execute, Reflection, Tool Use, and Multi-Agent Orchestration — with trade-offs and code.

Flutter 3.44 and Dart 3.12 bring Agentic Hot Reload and Genkit AI integration for building AI-ready apps — here's what changed and how to try it.

A practical comparison of the top AI coding assistants in 2026 — Claude Code, Cursor, and the open-source Kilo Code — and which one actually fits your workflow.

What agentic AI development actually looks like day to day in 2026 — the Plan-Execute-Verify loop, multi-agent workflows, and where the human still matters.

Step-by-step guide to building an AI agent in Python from scratch using the ReAct pattern — no LangChain, no LangGraph, just Python and an LLM API.